Data Recognition Corporation Jobs in Usa
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This role requires a strong background in data engineering, hands-on experience building cloud data solutions, and a talent for communicating complex designs through clear diagrams and documentation.
Core Responsibilities Cloud Data Architecture Design & Strategy: Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes.
Drive the selection and integration of cloud data services (e.g., storage, databases, analytics tools).
Develop comprehensive cloud data strategies in alignment with business goals.
Diagramming & Documentation: Produce clear and informative visual diagrams (e.g., data flow diagrams, entity-relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing.
Maintain detailed documentation of data architecture, design decisions, and processes.
Hands-on Implementation & Optimization: Actively contribute to the hands-on implementation of cloud data solutions.
Proactively identify and implement performance optimization strategies for cloud data systems.
Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility.
Must Have: Bachelor's of Engineering in Computer Science "Engineering degree in another branch such as Electrical, Civil, Mechanical, or IT, etc it will not be considered" Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks) Proven track record of successfully designing and implementing cloud-based data solutions in Azure Deep understanding of data modeling concepts and techniques.
Strong proficiency with database systems (relational and non-relational).
Exceptional diagramming skills with tools like Visio, Lucidchart, or other data visualization software.
Preferred Qualifications Advanced knowledge of cloud-specific data services (e.g., DataBricks, Azure Data Lake).
Expertise in big data technologies (e.g., Hadoop, Spark).
Strong understanding of data security and governance principles.
Experience in scripting languages (Python, SQL).
Additional Skills Communication: Exemplary written and verbal communication skills to collaborate effectively with all teams and stakeholders.
Problem-solving: Outstanding analytical and problem-solving skills for complex data challenges.
Teamwork & Leadership: Ability to work effectively in cross-functional teams and demonstrate potential for technical leadership.
Translate business process designs into clear master and transactional data definitions for S/4HANA.
Support template design by ensuring consistent data models, attributes, and hierarchies across geographies.
Validate data readiness for end-to-end process execution (Plan, Source, Make, Deliver, Return).
Define data objects, attributes, and mandatory fields.
Support business rules, validations, and derivations.
Align data structures to SAP best practices and industry standards.
Support data cleansing, enrichment, and harmonization activities.
Define and validate data mapping rules from legacy systems to S/4HANA.
Participate in mock conversions, data loads, and reconciliation activities.
Ensure data quality thresholds are met prior to cutover.
Support the establishment and enforcement of global data standards and policies.
Work closely with Master Data and Data Governance teams.
Help define roles, ownership, and stewardship models for value stream data.
Contribute to data quality monitoring and remediation processes.
Support functional and integrated testing with a strong focus on data accuracy.
Validate business scenarios using migrated and created data.
Support cutover planning and execution from a data perspective.
Provide post-go-live support and stabilization.
Requirements: 5 years of SAP functional experience with a strong data focus.
Hands-on experience with SAP S/4HANA (greenfield preferred).
Proven involvement in large-scale, global ERP implementations.
Deep understanding of value stream business processes and related data objects.
Experience supporting data migration, cleansing, and validation.
Required Skills: Strong knowledge of SAP master data objects (e.g., Material, Vendor/Business Partner, BOM, Routings, Pricing, Customer, etc.).
Understanding of S/4HANA data model changes vs.
ECC.
Experience working with SAP MDG or similar governance tools preferred.
Familiarity with data migration tools (e.g., SAP Migration Cockpit, LVM, ETL tools).
Ability to read and interpret functional specs and data models.
Strong stakeholder management and communication skills.
Ability to work across global, cross-functional teams.
Detail-oriented with strong analytical and problem-solving skills.
Comfortable operating in a fast-paced transformation environment.
Preferred Skills: Experience in manufacturing, building materials, or asset-intensive industries.
Prior role as Functional Data Lead or Data Domain Lead.
Experience defining global templates and harmonized data models.
Knowledge of data quality tools and metrics.
Experience with MGD and setting up cost center and profit center groups.
Description
The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines to support the bank's analytics, reporting, and decision-making processes. Working closely with analysts, reporting, integration teams and business stakeholders to ensure high-quality, secure, and efficient data solutions that comply with financial regulations and industry standards.
Below is a list of essential functions of this position. Additional responsibilities may be assigned in the position.
KEY RESPONSIBILITIES
- Build and maintain data models, schemas, and databases (e.g., data warehouses, data lakes) to support business intelligence, machine learning, and reporting needs.
- Ensure data is optimized for performance, reliability, and scalability, minimizing latency and maximizing throughput.
- Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using cloud and SQL technologies
- Implement data quality checks, monitoring, and validation processes to ensure accuracy, consistency, and compliance with regulatory requirements.
- Partner with business analyst, data Integration, Automation, and IT Teams to understand data requirements and deliver solutions that align with business goals.
- Ensure data adherence to strict security protocols and regulatory standards including encryption, access controls, and audit trails.
- Champion data governance, quality standards, and performance optimization.
- Create and maintain comprehensive documentation for data schemas, processes and systems to ensure transparency and reproducibility.
ATTITUDES
Builds positive relationships with internal and external clients by valuing other's feelings and rights in both words and actions, and embracing other's unique beliefs, backgrounds, and perspectives by demonstrating:
- Respect - treat every client and colleague with dignity and respect.
- Client Focus - Design scalable and reliable data pipelines that directly support the client's business goals and decision-making needs. Actively engage with stakeholders to understand evolving requirements and deliver solutions that provide timely, actionable insights
- Inclusion - Support a diverse work environment by building data systems that are accessible, equitable, and considerate of user needs, while actively seeking input from voices across all backgrounds and roles.
BEHAVIORS
Demonstrates strong business ethics and honest behaviors and the ability to positively influence and work with others to achieve excellent results by demonstrating:
- Leadership - Proactively drives data strategy, mentoring peers, and sets high standards for quality, innovation, and collaboration across teams.
- Integrity - Establish and enforce program governance frameworks, including change control and release management.
- Collaboration - Works with stakeholders across all departments to drive data efforts. Serves as a key contributor between business stakeholders and technical teams.
- Volunteerism - Use your skill beyond the role by mentoring others, helping teammates, and supporting meaningful causes.
COMPETENCIES
Reflects skill, good judgement, positive conduct, and personal responsibility for assigned areas. Seeks to implement and leverage services and technologies that create efficiencies by demonstrating:
- Accountability - Takes ownership of work, ensuring data systems are reliable and accurate. Promptly addresses issues or errors with transparency and responsibility.
- Innovation - Embrace new ideas, new tools, and bold thinking; challenge the status quo.
- Professionalism - consistently demonstrates courteous behavior, integrity, and strong work ethic while representing the bank with a polished appearance and clear communication.
POSITION LEVEL(S) EXPECTATIONS
- Strong understanding of Data Models, databases, schemas, and security methodologies.
- Excellent leadership, strategic thinking, and stakeholder management skills.
SEEKS PROFESSIONAL DEVELOPMENT OPPORTUNITIES
Actively participate in expanding skill sets and career paths by attending training programs, workshops, certifications, and educational resources relevant to the role. Set stretch assignments and cross functional opportunities that foster growth and learning.
Requirements
QUALIFICATIONS, EDUCATION, & EXPERIENCE
To perform this position successfully, an individual must be able to perform each essential position requirement satisfactorily, and a skills inventory is listed below.
- Bachelor's degree in a technology related program or 3-5 years' experience a data related field.
- Strong understanding of data architecture and data base design principles.
- Strong leadership and communication skills across technical and non-technical audiences.
- 3-5 Years experience in Data roles.
- Proficiency in languages such as Python, Java, Scala, or SQL.
- Experience in financial services (banking, insurance, wealth management).
- Excellent problem-solving and communication skills, with a collaborative mindset.
- Demonstrated leadership and self-direction.
- A background screening will be conducted.
LANGUAGE SKILLS: Ability to read, comprehend, and interpret documents. Possesses professional communication and interpersonal skills to write and speak effectively both one-on-one and before groups of clients or employees of the organization. Ability to communicate to clients directly and effectively.
TECHNOLOGY SKILLS: Ability to utilize telephone systems and possess good digital literacy including email, internet and intranet use. Strong understanding of Salesforce platform capabilities and implementation methodologies.
MATHEMATICAL SKILLS: Ability to add, subtract, multiply, and divide in all units of measure.
REASONING ABILITY: Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to solve challenging problems involving several variables in a standardized situation.
PHYSICAL DEMANDS AND WORK ENVIRONMENT: The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this position.
This position operates in a professional office environment with considerable time spent at a desk using office equipment such as computers, phones, and printers. Ability to travel on occasion to all market areas and attend seminars or training sessions offsite and employee meetings off-site.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
DISCLAIMER: This job description is not an exclusive list of responsibilities and duties. They may change at any time without notice.
BENEFITS
- Medical, Dental, Vision & Life Insurance
- 401K with company match
- Paid Time Off & Recognized Holidays
- Leave policies
- Voluntary Benefit Options (Life, Accident, Critical Illness, Hospital Indemnity & Pet)
- Employee Assistance Program
- Employee Health & Wellness Program
- Special Loan and Deposit Rates
- Gradifi Student Loan Paydown Plan
- Rewards & Recognition Programs and much more!
Eligibility requirements apply.
CNB Bank is an equal opportunity employer and all applicants are considered based on qualifications without regard to sex, race, color, ancestry, religious creed, national origin, sexual orientation, gender identity, physical disability, mental disability, age, marital status, disabled veteran or Vietnam era veteran status. CNB Financial Corporation is an Affirmative Action Employer and is committed to fostering, cultivating and preserving a culture of diversity and inclusion.
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Position Summary.
What you'll do...
- Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems.
- Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations.
About Team:
- Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at , through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
What you'll do:
- Lead high-caliber team to build large-scale Genai systems
- Develop data science systems and tools for retail, e-commerce applications:
- Leverage LLMS to summarize and build large scale applications
- Establish cross-functional relationships to maintain win-win situation for the corporation
- Collaborate with various product stake holders and business owners to formulate and productionize a solution.
What you'll bring:
- Master's degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in analytics related field.
- Must have qualifications...
- Strong solution architecture mindset, with the ability to apply AI/ML technologies to solve complex business problems.
- Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models.
- Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment.
- Solid understanding of LLMs and Genai ecosystems, including GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools.
- Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc.,
Great to have...
- Experience with Big Data processing and feature engineering using Spark
- Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure
- Hands on experience of designing and training large DL models on GPU
Behavior qualifications:
- Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures
- Ability to clearly define problems, models and constraints from informal and flexible business requirements
- Tech leadership with teamwork spirit, quick adaptation to new environment
- Form collaborative working environment.
- Demonstrated ability to manage multiple cross-functional initiatives, balancing competing priorities and deadlines.
- Comfortable working in ambiguous, rapidly changing environments, with strong problem-solving and adaptability.
- Highly motivated to demystify emerging technologies and drive adoption across teams and stakeholders.
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Recruiter Details:
Recruiter name: Ajeet Kumar
Recruiter’s email id :
JobDiva ID : # 22-63024
Date Posted:
2026-02-11Country:
United States of AmericaLocation:
US-TX-RICHARDSON-C17 ~ 1717 Cityline Dr ~ CITYLINE C17Position Role Type:
OnsiteU.S. Citizen, U.S. Person, or Immigration Status Requirements:
Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearanceSecurity Clearance Type:
TS/SCI without PolygraphSecurity Clearance Status:
Active and existing security clearance required on day 1At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.
Raytheon is hiring a Data Modeler Database Engineer to support our team in Richardson TX. You will have the opportunity to directly impact the world around you and contribute to classified programs and technologies you are passionate about. In this position you would be familiar with designing, creating, updating, and managing databases and high performance data models.
What You Will Do
- Identify and understand customer needs and apply sound, demonstrable understanding of database principles, theories, and concepts related to software engineering to translate those needs to viable design solutions.
- Translate needs and design requirements into physical data models.
- Analyze business requirements, RFCs, and technical specifications to identify data modeling impacts and design needs.
- Collaborate with systems engineers, product owners, architects, and stakeholders to gather and validate data requirements.
- Design new database structures (tables, indexes, constraints, views) and modify existing models to accommodate program needs.
- Author and implement database data model changes (DDL) using database change control automation.
- Work with developers on best practices for interacting with databases, writing and maintaining SQL statements.
- Utilize data modeling tools such as Oracle SQL Developer Data Modeler, Oracle Designer, and others.
- Demonstrate critical thinking skills with the ability to communicate concepts and ideas clearly.
- Use proven problem solving and analytical skills.
- Work in an Agile/Scrum environment.
- Able to obtain and maintain SCI program access and complete polygraphs.
- Obtain Security+ certification within 60 days of start.
Qualifications You Must Have
- Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of five (5) years of Database Engineering experience.
- Three (3) years of experience performing relational data modeling with Oracle or PostgreSQL Relational Database Management Systems (RDBMS).
- Three (3) years of experience with Oracle SQL and PL/SQL.
- Experience with bash shell scripting.
- Experience working with Systems and Software Engineers to design, implement, and modify backend databases to interact with applications.
- Experience and Linux command line skills to perform database administration activities, deployment automation.
- Active and transferable Top Secret U.S. government issued security clearance is required prior to start date with the ability to obtain a TS/SCI prior to start date. U.S. Citizenship is required as only U.S. Citizens are eligible for a clearance.
Qualifications We Prefer
- Three (3) years of experience with PostgreSQL SQL and pl/pgsql.
- Experience with python scripting and programming.
- Existing Security+ Certification (or higher).
- Experience using AWS RDS for Oracle and AWS Aurora PostgreSQL database services.
- Experience with NoSQL database products such as MongoDB and DynamoDB.
- Data architecture experience for critical design decisions (such as the suitability of a product/technology for a given use case).
- Experience troubleshooting database performance issues.
- Strong SQL tuning experience in Oracle and PostgreSQL.
- Experience with database security controls and audit & compliance requirements.
- Experience virtualizing or containerizing databases.
- Experience with automating routine tasks.
- Experience using git source control, Jira, and Confluence.
What We Offer
Whether you’re just starting out on your career journey or are an experienced professional, we offer a total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance, and child/adult backup care.
Relocation Eligibility - Relocation assistance is available.
Learn More & Apply Now!
Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:
North Texas: Are RTX
#LI-Onsite
#LI-HS30
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms
Net2Source is a Global Workforce Solutions Company headquartered at NJ, USA with its branch offices in Asia Pacific Region. We are one of the fastest growing IT Consulting company across the USA and we are hiring "Data Architect' for one of our clients. We offer a wide gamut of consulting solutions customized to our 450+ clients ranging from Fortune 500/1000 to Start-ups across various verticals like Technology, Financial Services, Healthcare, Life Sciences, Oil & Gas, Energy, Retail, Telecom, Utilities, Technology, Manufacturing, the Internet, and Engineering.
Position : Data Architect - (Databricks Lakehouse)
Location: Dallas, TX (Hybrid - Locals Only)
Type: Contract
Exp Level - 14+ Years
Job Description:
Role Overview Own the target-state architecture in Databricks and actively contribute to pipeline development. Define how API/FTP data flows Into Bronze/Silver/Gold layers with cleansing and enrichment logic.
Key Responsibilities
- Hands-on Data Architect (Databricks Lakehouse )
- Design Databricks Lakehouse architecture (Bronze/Silver/Gold)
- Define ingestion patterns for API & FTP
- Architect scalable cleansing & enrichment frameworks.
- Translate legacy SQL logic into Spark-based transformations
- Define Delta Lake optimization strategy
- Establish security, governance, and PHI controls
- Implement CI/CD for data pipelines
- Mentor engineering team
Required Skills
- Strong expertise In Databricks & Delta Lake
- Advanced PySpark & Spark SQL
- Experience designing data pipelines from scratch
- Strong understanding of SQL Server logic & stored procedures
- Azure cloud experience Healthcare
- Healthcare Data Architecture Experience Preferred.
Why Work With Us?
We believe in more than just jobs—we build careers. At Net2Source, we champion leadership at all levels, celebrate diverse perspectives, and empower you to make an impact. Think work-life balance, professional growth, and a collaborative culture where your ideas matter.
Our Commitment to Inclusion & Equity
Net2Source is an equal opportunity employer, dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all, regardless of age, gender, ethnicity, disability, or other protected characteristics.
Awards & Recognition
- America’s Most Honored Businesses (Top 10%)
- Fastest-Growing Staffing Firm by Staffing Industry Analysts
- INC 5000 List for Eight Consecutive Years
- Top 100 by Dallas Business Journal
- Spirit of Alliance Award by Agile1
Madhukar Singh
Email:
Data Entry Specialist (Political Campaign Support)
Location : On-site Westlake Village, CA
Position Type : Contract
Payrate : $22/hr
Want a front-row seat to how campaigns actually run? This role puts you on the operational backbone of a political campaign team, where speed and accuracy directly power real-world results.
What you’ll do:
You’ll help transform handwritten petition signatures into clean, verified voter data using proprietary systems.
• Enter names and addresses into campaign databases from handwritten petitions
• Support the Exceptions workflow, where the system cannot auto-match a record
• Manually research and match names to voter files using search tools and state-specific guidelines
• Use pattern recognition, deductive reasoning, and attention to detail to make accurate matches
This is not just typing. You’re doing investigative matching work that requires judgment, consistency, and focus.
Growth path:
This is an entry-level role with real upward mobility. Strong performers can move into roles like
Sorter, Office Administrator, Checker, Counter, Lead, Scheduler, Director’s Administrative Assistant
What we’re looking for:
• 12,000 keystrokes minimum
• Touch typist only
• Fluent in written English and comfortable with common names and spelling
• Able to read cursive and handwriting
• Comfortable with computers and standard commands
• Detail-oriented with strong critical thinking
• Basic math skills
• Data entry experience is a plus, not required
Schedule options:
You’ll be assigned a shift, with weekend opportunities available. Shift options below:
• PM shift: 4:00pm to 11:45pm Monday to Friday
• Weekend 8:00am to 5:00pm Saturday and Sunday
What you get:
• Full-time 40 hours per week
• Health benefits with low premiums
• A chance to support meaningful work with a team that moves fast and values accuracy
Why USAA?
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.
The Opportunity
The Mid-Level Life Solutions Specialist helps to ensure the financial security of our membership by assessing member life insurance needs, providing advice and / or referrals for advice, and making the appropriate recommendations based on members’ individual needs and goals. May provide support to Health Solutions acquisition and retention based on member demand.
We offer a flexible work environment that requires an individual to be in the office 5 days per week, with the opportunity to move to a hybrid schedule after 6 months. This position can be based at the Plano, TX Campus . Relocation assistance is not available for this position.
What you'll do:
Receives request for advice from current and prospective members through various channels, including inbound and outbound phone calls, emails, faxes, and video telephony. Special Acquisitions Team employees will primarily place outbound calls triggered from underwriting work items.
Asks questions to discover key information, including life events, and to understand member needs. Documents relevant information.
Uncovers and recognizes life events, understands and assesses the member's needs, financial situation, and goals.
Develops and understands appropriate life insurance strategies based on individual member needs. Provides intermediate protection planning advice, including insurance protection, estate planning and enhanced solutions like long term care products.
Recommends relevant life insurance product and solutions and refers members who may need financial advice to the respective department.
Motivates member to take action on recommendation(s) and resolves objections using intermediate sales techniques and intermediate persuasion skills. Implements recommendation(s).
Monitors legislative initiatives that may impact economy, society, and personal financial situation.
Educates membership on implications of economic, industry trends and tax law changes, as well as USAA's
products and services.
May conduct outbound follow-up calls to complete member acquisition of products and services previously discussed.
Serves as a resource to less experienced team members on escalated issues of a routine nature.
Guides and influences less experienced team members.
Work Hours:
Monday – Friday / 7:30am – 7:00pm (Central)
An 8 hour shift will fall within these hours
This role is required to be in office, with potential hybrid opportunity after 6 months.
What you have:
High School diploma or GED
Required maintenance of Life/Health license
Required annual completion of AHIP and Broker/Carrier appointments when applicable.
2 years of financial industry and/or life sales experience
Experience delivering frequent written and oral communication
Experience acquiring and applying new concepts and information
Experience processing and analyzing information
Experience fulfilling requests and meeting deadlines
Experience resolving conflict and negotiating
Experience multi-tasking in an operating systems environment
Experience participating in or leading teams
Successful completion of a job-related assessment may be required
What sets you apart:
4+ years experience working in Sales with life insurance
1+ years experience working in a call center environment
CLU® - Chartered Life Underwriter or comparable designation
US military experience through military service or a military spouse/domestic partner
Compensation range: The salary range for this position is: $66,340 - $111,940
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, visit our benefits page on
Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Remote working/work at home options are available for this role.
The Miami, Ft. Lauderdale and Tampa offices of Akerman LLP seek Associates with 3 to 5 years of experience in commercial litigation for the Consumer Financial Services, Data and Technology Practice Group. Excellent legal research, writing and analytical skills, as well as federal and state court experience are required. Financial institutions litigation experience is preferred. Must possess a Juris Doctor degree from an ABA accredited law school and be a member of The Florida Bar.
About the Firm
Founded in 1920, Akerman is recognized as one of the country's premier law firms, with more than 700 lawyers in 25 offices throughout the United States. To learn more about our firm, please visit us at Recognitions
- Top 100 U.S. Law Firms (The American Lawyer)
- Among the Most Innovative Law Firms (Financial Times)
- Ranked among 100 Most Prestigious U.S. Law Firms (Vault)
- Ranked among the Top Large Law Firms for Diversity (Law360)
- Ranked among the Top 30 Large Law Firms for Gender Equity (Law360)
- Leadership Council on Legal Diversity, 2023 Top Performer
Equal Employment Opportunity Policy
We are committed to providing a supportive and inclusive environment where all individuals can reach their full potential, no matter their race, color, sex, religion, national origin, age, disability, marital status, gender identity/expression, sexual orientation or genetic makeup.
Note to Search Firms
Akerman LLP will not accept unsolicited resumes or other unsolicited candidate information from Search Firms. Submissions will only be considered when a fully executed fee agreement is in place. Search firms should contact for additional information.
You’ve done a ton of Leetcode.
You’ve racked up certificates, aced LeetCode challenges, and you know your way around system design like the back of your hand.
On paper, you’re everything a tech company wants.
However tech stacks and requirement change every day.
Also, tech clients want in depth Tech stack knowledge and the school projects don’t make the cut.
Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k.
Synergisticit’s JOPP focuses on closing the gap between your tech skills and what employers want now.
Open Roles We're Hiring For our clients: Entry-Level Software Programmers (Java/Python) Java Full Stack Developers Data Analysts & BI Engineers Data Scientists & ML Engineers All visa types and U.S.
citizens are encouraged to apply.
please check the below links Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT Backend vs.
Full Stack Development: Job Prospects | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience Candidates on F1/OPT needing a job for STEM extension or H-1B filing Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Top tech companies are flooded with smart grads.
What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room—or a Zoom.
That’s what we upskill on Please check the below links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: The Market’s Changed—Have You? Develop and implement statistical predictive models and machine learning algorithms Develop predictive models and machine learning algorithms using advanced methodologies Develop statistical learning models for data analysis Design and develop data mining and machine learning models and algorithms Using machine learning and statistical techniques Develop statistical models for data analysis Demonstrate an advanced understanding of data mining, predictive analytics, machine learning and data visualization Support analytics and machine learning model development Implement data driven business solutions using advanced statistical methods and machine learning techniques Clean and explore data and implement statistical/machine learning models Create machine learning data models that develop new insights over time Providing advanced predictive data analytics using big data and data science technology for healthcare innovation Generate analytics on big data Solve statistical, machine learning, analytical and data mining problems Leverage statistical data modeling, data mining and machine learning techniques to provide solutions to new business problems Deploy predictive models and/or machine learning algorithms on large static and/or streaming data sets Optimizing classifiers using machine learning techniques Building the coolest machine data analytics systems Using various types of algorithms and machine learning modeling techniques Define and develop machine learning and data mining strategies
Minimum of five years experience working in analytics with hospitals and health plans.
Advanced proficiency required with VBA, SQL, Salesforce, Excel and Access.
High-level skills using web applications and all browsers; ability to teach others how to use web-based database functions.
Demonstrated experience using Microsoft Office computer applications, including Word, Access, Outlook and SharePoint.
Advanced knowledge of Excel required.
Detail-oriented with strong follow-through and ability to work independently given standard guidelines and checklists.
Good writing and communication skills.
Able to draft grammatically correct and professional email messages.
Demonstrated experience in working successfully with minimal supervision.
Must have knowledge of medical and health care terminology.
Ability to complete HIPAA training and implement high-level protections on patient information and confidentiality.
Must work effectively independently and in a team setting.
Ability to relate well with internal and external customers.
Quality/Metrics: Gather and perform analysis on data from Salesforce, Loopback, Excel, and other databases as required.
Perform data cleaning as needed to ensure data are consistent and analyzable.
Create data reports, charts, graphs and tables for regular reporting to program leads and external partners.
Export data from software systems and program tracking logs for agency reporting.
Assemble reports, papers and presentation materials as directed.
Collect data through phone and in-person interviews.
Record or transcribe data in accordance with project and funding source guidelines.
Perform literature reviews (locating, listing &/or abstracting articles).
Enter literature references into shared database (such as EndNote) Responsibilities: Data cleaning, formatting, and maintenance as needed.
Data visualization and analysis of program metrics.
Data Entry for the program(s) assigned.
Program reporting/billing/invoicing support.
Administrative duties as needed (Mailing and other assigned work) Establish and maintain systems for program accountability – reports track performance.
Attend and ensure follow up after all meetings and presentations – minutes, reports, action plans, assignments, and etc.
Monitors performance, responsibilities of field staff with respect to database management, metrics, and documents.
Reports all errors in systems, workflows, and both internal and external individuals.
Completes reporting (both internal and contractual requirements) with thorough knowledge and understanding of what is being reported.
Develops and maintains a current understanding of the Department’s Contractual Agreements.
Must have professional verbal and written skills, computer/software skills.
Assists with both internal and external customer service calls, emails, and requests.
Other Miscellaneous tasks assigned, as needed.
SQL Server database design, implementation, troubleshooting Develop, optimize, and maintain complex T-SQL queries, stored procedures, indexes, constraints; resolve performance issues, deadlocks, and contentions using traces, execution plans, and profiling.
Design, develop, test, and implement ETL/ELT processes using Talend for data extraction, transformation, and loading from diverse sources, including Salesforce CRM data.
Administer and optimize Talend environment, including job scheduling, dependencies, monitoring, automation, patches, upgrades, and performance tuning.
Integrate Salesforce data (e.g., via APIs, connectors) into SQL Server databases and data warehouses, ensuring data quality, synchronization, and real-time/ batch processing.
Collaborate face-to-face/with business stakeholders to analyze requirements, gather specifications, evaluate data sources/targets, and design solutions that improve business performance.
Lead ETL development activities, ensure code quality, provide feedback on performance.
Support enterprise data warehouse, data marts, and business intelligence initiatives; perform source data analysis and dimensional modeling.
Develop and automate processes using scripting.
Provide tier 2/3 support, evaluate production issues, recommend improvements, and participate in project planning following Agile methodologies.
Perform proactive performance optimization, and data synchronization across environments Mentor staff, recommend process enhancements, and contribute specialized knowledge across IT and business operations.
Document data integration processes, workflows, ETL designs, data mappings, technical specifications, and system configurations Manage version control, deployments Collaborate on testing (unit, integration, UAT Translated business requirements into actionable data specifications, documentation, and code solutions using Salesforce Object Manager and official documentation Reviewed Salesforce release notes, verified production deployments, and conducted feature testing across sandbox and production environments with detailed feedback submission Developed and maintained complex SOQL queries to support data team operations, reporting, and analytics needs Designed and built custom Salesforce reports to support data operations and Enhanced Care Management (ECM) programs Developed and deployed end-to-end solutions for processing health plan MIF data, enabling efficient insert, update, and reporting workflows for Lead and Case objects Performed large-scale data inserts, updates, and migrations using Salesforce Data Loader in both sandbox and production environments Extracted, analyzed, and transformed backend Salesforce data using Talend and SQL to produce accurate reports for compliance, billing, and operational needs Identified and resolved reporting discrepancies and data quality issues through root-cause analysis and targeted corrections Cleaned, standardized, and transformed referral data for mass uploads into Salesforce while enforcing validation rules and workflow requirements Created Salesforce-based error reports that enabled program teams to quickly identify and correct data entry issues Conducted data gap analyses against vendor reporting requirements and designed field transformations and new data structures to meet compliance and reporting standards Integrated offshore datasets with Salesforce records to address missing or incomplete data, improving accuracy for reporting and billing Reduced manual data entry and correction efforts by automating large-scale updates, inserts, and fixes via Salesforce Data Loader Maintained vendor zip code records in Salesforce to ensure accurate service area tracking, correct billing rates, and reliable historical reference Partners in Care Foundation is an equal opportunity employer.
We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations.
It is our intent to maintain a work environment which is free of harassment, discrimination, or retaliation because of age, race (including hair texture and protective hairstyles, such as braids, locks, and twists), color, national origin, ancestry, religion, sex, sexual orientation, pregnancy (including childbirth, lactation/breastfeeding, and related medical conditions), physical or mental disability, genetic information (including testing and characteristics, as well as those of family members), veteran status, uniformed service member status, gender, gender identity, gender expression, transgender status, arrest or conviction record, domestic violence victim status, credit history, unemployment status, caregiver status, sexual and reproductive health decisions, salary history or any other status protected by federal, state, or local laws.
All qualified applicants will receive consideration for employment and reasonable accommodations may be made to enable qualified individuals to perform the essential functions of the position.
Remote working/work at home options are available for this role.
The University of Maryland (UMD) seeks a Manager of Data Analytics Enablement to lead the adoption and modernization of enterprise analytics capabilities that enable trusted, data-informed decision-making across campus.
This is an exciting time to join UMD as we advance enterprise data and analytics through a period of innovative growth and modernization.
This role will play a key part in shaping the future of enterprise business intelligence, advancing Microsoft Power BI and Fabric capabilities, and embedding sustainable data quality and stewardship practices into analytics workflows.
Reporting to the Director of Enterprise Data Services, this position partners with institutional leaders, IT teams, and enterprise stakeholders to deliver reliable data products, consistent metrics, and actionable insights.
The manager will lead a team of data professionals and advance practical, operational governance practices that support trusted analytics and long-term institutional impact.
Key Responsibilities: Lead the strategy, development, and continuous improvement of the university’s enterprise business intelligence environment, including Microsoft Power BI and Microsoft Fabric.
Establish standards, best practices, and architectural patterns for semantic models, dashboards, and analytics delivery.
Guide migration and modernization efforts to ensure scalable, secure, and high-performing analytics solutions.
Develop and manage an analytics intake, prioritization, and delivery framework aligned with institutional priorities.
Define and implement data quality monitoring practices to ensure reliability, accuracy, and consistency of enterprise data assets.
Partner with technical teams to embed validation, monitoring, and observability into data pipelines and lakehouse environments.
Promote consistent metric definitions and collaborate with campus stakeholders to clarify data ownership and stewardship roles.
Support adoption of metadata management, data catalog, and lineage capabilities.
Ensure analytics solutions align with university standards for security, privacy, and responsible data use.
Manage, mentor, and develop a team of analytics and data professionals, fostering a culture of quality, collaboration, and service.
Communicate analytics priorities, progress, and impact to leadership and campus partners.
**This position is considered essential and may be required to work at the normal work location or an alternative location during a major catastrophic event, weather emergency, or other operational emergency to help maintain the continuity of University services.
** **May be required to work evenings, nights, weekends, or different shifts for extended periods.
** KNOWLEDGE, SKILLS, & ABILITIES: Knowledge of data privacy and security principles and practices necessary to protect systems and data from threats.
Knowledge in areas of subject matter expertise such as databases, data modeling, ETL, reporting, data governance practices, metadata management, data stewardship, and/or regulatory compliance.
Skill in SQL or programming/scripting languages (e.g.; Python) used for integrations, data pipelines, report development, and data management.
Skill in adapting communication style to different audiences, including technical, business, and executive stakeholders.
Skill in the use of office productivity software such as Office 365 or Google Workspaces.
Ability to lead presentations and training for large groups.
Ability to manage communications and relationships with technical and business stakeholders.
Ability to collaborate effectively with other Managers, Assistant Directors, and Directors to identify and solve problems, make improvements, and address ongoing issues.
Ability to provide a team with effective direction and support in implementations using standards and techniques that lead to a repeatable and reliable solution.
Ability to ensure documentation standards and procedures are implemented for all team responsibilities.
Ability to define deadlines and manage the quality of the work delivered.
Ability to comprehend and handle interpersonal dynamics, demonstrate empathy towards team members, and effectively manage conflicts or challenging circumstances.
Ability to coach and mentor team members in order to enhance their performance, provide constructive feedback, and support skill development.
Physical Demands: Sedentary work.
Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.
Repetitive motion.
Substantial movements (motions) of the wrists, hands, and/or fingers.
The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
Minimum Qualifications Education: Bachelor’s degree from an accredited college or university.
Experience: Three (3) years of professional experience supporting the operations, maintenance, and administration of data systems, analytics platforms, or data management programs.
One (1) year leading or supervising professional staff.
Other: Additional work experience as defined above may be substituted on a year for year basis for up to four (4) years of the required education.
Preferences: Demonstrated experience leading business intelligence or enterprise analytics initiatives.
Experience managing or mentoring data professionals in a collaborative team environment.
Strong experience with Power BI and modern data platforms such as Microsoft Fabric, Databricks, or similar cloud-based analytics ecosystems.
Proficiency with SQL and/or Python in support of analytics, data modeling, or data quality initiatives.
Experience implementing or advancing data quality practices, including validation, monitoring, or metric standardization.
Experience supporting practical data governance activities such as establishing shared definitions, coordinating data stewardship, or implementing metadata/catalog tools.
Demonstrated ability to collaborate across diverse stakeholders and translate business needs into scalable analytics solutions.
Strong communication skills with the ability to engage both technical and non-technical audiences.
Experience using Jira or similar tools for work intake, project tracking, and prioritization.
Additional Information: Please note that all positions within the Division of Information Technology (DIT) have an in person component with expected time in our College Park, MD location per week.
Telework is not a guaranteed work arrangement.
Visa Sponsorship Information: DIT will not sponsor the successful candidate for work authorization in the United States now or in the future.
F1 STEM OPT support is not available for this position.
Required Application Materials: Resume, Cover Letter, List of three References Best Consideration Date: March 26, 2026 Open Until Filled: Yes Salary Range: $149,120.00
- $178,944.00 Please apply at: Job Risks: Not Applicable to This Position Financial Disclosure Required: No For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website .
Department: DIT-EE-Enterprise Data Services Worker Sub-Type: Staff Regular Benefits Summary: For more information on Regular Exempt benefits, select this link .
Background Checks: Offers of employment are contingent on completion of a background check.
Information reported by the background check will not automatically disqualify anyone from employment.
Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information.
The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment Eligibility: The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization.
Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO Statement : The University of Maryland, College Park is an Equal Opportunity Employer.
All qualified applicants will receive equal consideration for employment.
Please read the University’s Equal Employment Opportunity Statement of Policy.
Title IX Non-Discrimination Notice See above description for requirements
Able to operate independently in low structure environments, collaborate across business and IT, and deliver high quality, AI ready data ecosystems.
Role Purpose Establish, advance, and mature data quality and governance capabilities in a green field, low maturity data environment.
Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early stage data architecture.
Drive long term improvement of data standards, definitions, lineage, and quality processes.
Key Responsibilities Data Quality & Engineering Perform data audits, profiling, validation, anomaly detection, and quality gap identification.
Develop automated data quality rules and validation logic using T SQL, SQL Server, stored procedures, and indexing strategies.
Build and maintain SSIS packages for validation, cleansing, transformation, and error detection workflows.
Troubleshoot ETL/ELT pipelines, data migrations, integration failures, and data load issues.
Conduct root cause analysis and implement preventive and long term remediation solutions.
Optimize SQL queries, tune stored procedures, and improve data processing performance.
Document audit findings, validation processes, data flows, standards, and quality reports.
Build dashboards and reports for data quality KPIs using Power BI/Tableau.
Data Stewardship & Governance Define, maintain, and enforce data quality standards, business rules, data definitions, and governance policies.
Monitor datasets for completeness, accuracy, timeliness, consistency, and compliance.
Ensure proper and consistent data usage across departments and systems.
Maintain business glossaries, data dictionaries, metadata repositories, and lineage documentation.
Partner with IT, data engineering, and business teams to support governance initiatives and compliance requirements.
Provide training on data entry, data handling, stewardship practices, and data literacy.
Collaborate with cross functional teams to identify recurring data issues and recommend preventive solutions.
GreenField / LowMaturity Environment Architect initial data quality frameworks, validation layers, governance artifacts, and ingestion patterns.
Establish scalable data preparation workflows supporting analytics, BI, and AI/ML readiness.
Mature data quality and governance processes from ad hoc to standardized, automated, and measurable.
Drive adoption of data quality and governance practices across business and technical teams.
Support long term evolution of enterprise data strategy and governance maturity.
Required Technical Skills Advanced T SQL, SQL Server development, debugging, and performance tuning.
SSIS development, deployment, and troubleshooting.
Data profiling, validation rule design, quality scoring, and measurement techniques.
ETL/ELT pipeline design, debugging, and optimization.
Data modeling (conceptual, logical, physical).
Metadata management and lineage documentation.
Reporting and dashboarding with Power BI, Tableau, or similar tools.
Strong documentation and communication skills.
Preferred Skills Knowledge of DAMA DMBoK, DCAM, MDM concepts, and governance frameworks.
Experience in low maturity/green field data environments.
Familiarity with AI/ML data readiness and feature store aligned data structuring.
Cloud data engineering exposure (Azure, Databricks, GCP).
Education Bachelor’s degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, or related field.
Master’s degree preferred.
Certifications (Preferred) DAMA CDMP (Associate/Practitioner) EDM Council DCAM ASQ Data Quality Credential Collibra Data Steward Certification Certified Data Steward (eLearningCurve) Cloud/AI certifications (Azure, Databricks, Google)
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
AI & Data - Data Architecture – Senior Manager – Power & Utilities Sector
EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.
The opportunity
You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.
As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Your key responsibilities
In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.
Skills and attributes for success
To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:
- Technical Skills Applications Integration
- Cloud Computing and Cloud Computing Architecture
- Data Architecture Design and Modelling
- Data Integration and Data Quality
- AI/Agentic AI driven data operations
- Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
- Strong relationship management and business development skills.
- Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
- Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
- Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
- Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
- Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
- Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
- Establish data governance policies and practices, including data security, quality, and lifecycle management.
- Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role, you must have
- A Bachelor’s degree required in STEM
- 12+ years professional consulting experience in industry or in technology consulting.
- 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
- 5+ years’ experience with native cloud products and services such as Azure or GCP.
- 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
- In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
- Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
- Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
- Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
- Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
- Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
- Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
- Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
- Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
- Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
- Experience leading Infrastructure and Security engineers and architects in overall platform build.
- Excellent leadership, communication, and project management skills.
- Data Security and Database Management
- Enterprise Data Management and Metadata Management
- Ontology Design and Systems Design
Ideally, you’ll also have
- Master’s degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
- Experience working at big 4 or a major utility.
- Experience with cloud data platforms like Databricks.
- Experience in leading and influencing teams, with a focus on mentorship and professional development.
- A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
- The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
- Building and Managing Relationships
- Client Trust and Value and Commercial Astuteness
- Communicating With Impact and Digital Fluency
What we look for
We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.
FY26NATAID
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .
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8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220
Job Description
What you will do – Essential Responsibilities
- Given long term strategic goals, can lay out a path across many versions.
- Participates in and supports initiatives outside of main area of responsibility.
- High degree of influence of data product direction and has ownership over large components.
- Thinks both strategically and tactically, keeping in mind both technical goals and company goals.
- Provides technical leadership for projects including 3–4 senior level individuals.
- The data engineer will be considered a blend of data and analytics “guru.” This role will promote the available data and analytics capabilities and expertise to business unit leaders and educate them in leveraging these capabilities in achieving their business goals.
- Work with data governance team members and information stewards and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.
- May be required to present at conferences to demonstrate company’s technical prowess.
Purpose of the role
Senior Principal Engineers partner with Engineers and Solution Architects to develop solutions and implement standards that ensure an unrivaled data experience. You are an expert in your craft and seen as a platform and implementation owner. You are an active contributor in the industry and have a passion for continuous learning.
Senior Principal Engineers practice hands-on development, have oversight of the technical tasks of others, and are the owners of the standards and best practices. Our Senior Principal Engineers act as a technical mentor to others and is an expert in supporting multiple areas of the business.
Qualifications and Requirements
Basic Qualifications
- Bachelor’s Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required and 8+ years of work experience required in data management disciplines including [data integration, modeling, optimization and data quality], and/or other areas directly relevant to data engineering responsibilities and tasks; multiple certifications preferred or
- Master’s Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required and 6+ years of work experience required in data management disciplines including [data integration, modeling, optimization and data quality], and/or other areas directly relevant to data engineering responsibilities and tasks; multiple certifications preferred.
Preferred Qualifications
- Expert experience working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. These should include [ETL/ELT, data replication/CDC, message-oriented data movement]
- Strong/expert experience with multiple advanced analytics tools languages such as [R, Python, Java, C++, Scala, others].
- Strong/expert experience with popular database programming languages including [SQL, PL/SQL, others] on both relational and non-relational databases.
- Strong experience with cloud data platforms such as Databricks, Snowflake
- Expert experience with data discovery, analytics, and data quality controls
- Expert experience in data modeling and ontologies
- Strong experience with microservices to Serve Data
- Strong experience in cloud platforms such as Azure, AWS, GCP
Work Location and Arrangement: This role will be based out of the CarMax Midtown office, Richmond VA or CarMax Technology Hub, Plano TX and have a Hybrid work arrangement.
- Associates based in Richmond work onsite 5 days per week.
- Associates based in Plano work onsite 2 days per week.
Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.
About CarMax
CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 250 locations nationwide.
Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.
Our Commitment to Diversity and Inclusion:
CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.
CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.
Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.
Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.
Summary
The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with a focus on cloud-based data warehousing and reporting solutions and driving efficiency within the organization. The role plays a pivotal role in defining data cloud architecture that requires close collaboration with application developers, data engineers, data analysts, data scientists, and BI developers to ensure seamless data integration and automation across various platforms. The Cloud Data Warehouse Architect is responsible for evaluating and selecting the most effective cloud technologies, data governance and compliance, and data warehouse process alignment with security best practices and industry regulations. The role demands passion for cutting-edge cloud solutions, performance optimization, and a proactive approach to troubleshooting complex data challenges in a fast-paced, highly collaborative environment. This role will enable organization to build scalable, cost-efficient systems that support advanced analytics, business intelligence, and machine learning use cases.
Essential Functions
- Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
- Define architecture standards and best practices for data warehousing and cloud infrastructure.
- Develop and manage backup strategies, disaster recovery plans, and failover mechanisms to ensure business continuity.
- Provide input for project plans and timelines to align with business objectives.
- Monitor project progress, identify risks, and implement mitigation strategies.
- Work with cross-functional teams and ensure effective communication and collaboration.
- Provide regular updates to the management team.
- Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
- Communicates and promotes the code of ethics and business conduct.
- Ensures completion of required company compliance training programs.
- Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
- Stays current through personal development and professional and industry organizations.
Additional Functions
- Design scalable, secure, and efficient data warehouse solutions on cloud platforms such as Azure, Google Cloud, AWS.
- Implement robust security measures to ensure data privacy and comply with regulatory standards.
- Leverage cloud-native automation tools to streamline data management and reduce manual processes.
- Design, build, and maintain automated data pipelines and ETL/ELT processes, ensuring scalability and reliability in data operations.
- Design and implement data integration solutions to automate data flow between systems and databases.
- Designs and develops cloud automation solutions using various technologies, such as scripting languages, databases, APIs, and cloud services.
- Monitors and troubleshoots the cloud data warehouse solutions, resolving any issues or errors.
- Provides training and support to the end users of the cloud solutions.
- Maintain detailed architecture documentation and best practices for the organization’s data cloud infrastructure.
- Stay up-to-date with cloud technologies and data architecture trends to recommend and implement new tools and solutions.
- Understands cloud FinOps including chargeback and alert monitoring
Qualifications
- 5+ years of experience in cloud data warehouse design, cloud computing, and data architecture.
- A bachelor's degree or higher in computer science, information systems, or a related field.
- Deep understanding of cloud-based data warehousing solutions (e.g., Azure Fabric, Google BigQuery, AWS etc.)
- Knowledge of data security, encryption, and compliance in cloud environments.
- Understanding of DevOps practices and cloud infrastructure automation (CI/CD, Teraforms)
- Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
- Experience with data modeling tools.
- Familiarity with BI visualization tools such as Looker, Tableau, Microstrategy, PowerBI, or similar.
- Strong knowledge and skills in data management, data quality, and data governance.
- Strong communication, collaboration, and problem-solving skills.
- Ability to work on multiple projects and prioritize tasks effectively.
- Ability to work independently and in a team environment.
- Ability to learn new technologies and tools quickly.
- The ability to handle stressful situations.
- Highly developed business acuity and acumen.
- Strong critical thinking and decision-making skills.
Working Conditions & Physical Demands
- This position requires in-person office presence at least 4x a week.
"Candidates must be authorized to work in the United States without the need for current or future visa sponsorship."
Summary of Position (Job Purpose)
This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar. As the company undergoes major transformation, insights derived from data will play a critical role.
We are seeking an experienced Data Engineering Manager with deep technical expertise and the ability to be hands‑on. This leader will help transform how Family Dollar leverages internal & external data and ensure structured & unstructured data can be securely and efficiently utilized across the organization. You will collaborate closely with business users, data product owners, platform teams, enterprise architecture, data management, and business intelligence team to build high‑performing, scalable, and maintainable data capabilities using current and emerging cloud technologies.
This role is responsible for the design and execution of data engineering initiatives in partnership with the Director of Data Analytics & Reporting. The candidate must be highly collaborative, organized, and effective at communication and problem‑solving. Leadership experience managing individual contributors, contractors, and vendors is essential
Principal Duties and Responsibilities
- Build, lead, and manage the Data Engineering team, driving rapid delivery of data solutions that enhance analytics and insights capabilities.
- Manage 3–5 individual contributors as well as contract and vendor resources.
- Collaborate closely with stakeholders across product, architecture, development, business intelligence, and executive teams.
- Make recommendations for enterprise‑wide data, data onboarding, and self‑service analytics roadmap and architecture.
- Design data pipelines and data models optimized for BigQuery performance, cost control, and reliability
- Provide technical direction and solution guidance to ensure projects enable effective data availability and meet business requirements.
- Serve as an escalation point for issues or roadblocks impacting delivery timelines.
- Stay current on emerging trends and technologies in Data Warehousing and Analytics—particularly within retail.
- Deliver solutions in a fast‑paced, dynamic, and agile environment.
- Initiate proof‑of‑concepts (POCs) and prototypes to validate recommendations and test new approaches.
- Act as the subject‑matter expert on data acquisition, ingestion, and information delivery.
- Lead the creation of standards for data quality, lineage, governance, observability, and CI/CD processes across the data engineering organization
- Collaborate with data product owners to define, prioritize, and execute the data engineering roadmap aligned with business objectives
- Coach and mentor engineers, fostering a culture of technical excellence and continuous improvement
Minimum Requirements/Qualifications
- Bachelor’s degree or higher.
- 5+ years of experience working with large‑scale, enterprise data sets.
- 2+ years managing full‑time employees, contract partners, or vendor resources.
- Strong curiosity and a passion for identifying new ways to leverage data to creates business value.
- Proven experience delivering end‑to‑end data solutions, with emphasis on enabling self‑service analytics across diverse user groups.
- Experience working with end users to gather requirements and translate them into technical solutions from concept through implementation.
- Self‑starter capable of independently delivering outcomes with minimal oversight.
- Hands‑on experience working with structured and unstructured data and modern data technologies—including GCP, BigQuery, Dataflow, Python, etc.
- Experience delivering data as a product as plus
- Retail, supply chain, or e‑commerce experience is a plus but not required.
Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities.
Senior Data Modeler
Hybrid 3-4 days onsite
Location: Phoenix, Arizona
Salary: $130,000 - $150,000 base
A large, operationally complex organization is undergoing a major modernization of its data platform and is building a new, cloud-native analytics foundation from the ground up. This is a greenfield opportunity for a senior-level data modeler to establish best practices, influence architecture, and help shape how data is organized and used across the business.
This role sits at the center of a multi-year transformation focused on modern analytics, scalable data products, and strong collaboration between data and business teams.
What You’ll Be Working On
- Designing and implementing enterprise data models across conceptual, logical, and physical layers
- Establishing Medallion architecture patterns and reusable modeling assets
- Building dimensional and semantic models that support analytics and reporting
- Partnering closely with domain experts and functional leaders to translate business needs into data structures
- Collaborating with data engineers to align models with ELT pipelines and analytics frameworks
- Helping define modeling standards and upskilling senior engineers in modern data modeling practices
- Contributing hands-on to data engineering work where needed (SQL, transformations, optimization)
- Proactively identifying analytics opportunities and recommending data structures to support them
This role is roughly 40% data modeling, 30% hands-on engineering, and 30% cross-functional collaboration.
Must-Have Experience
- Strong, hands-on experience with data modeling (dimensional, canonical, semantic)
- Deep understanding of Medallion architecture
- Advanced SQL and experience working with a modern cloud data warehouse
- Experience with dbt for transformations and modeling
- Hands-on experience in cloud-native data environments (AWS preferred)
- Ability to work directly with business stakeholders and explain technical concepts clearly
- Experience collaborating closely with data engineers on execution
Nice to Have
- Python experience
- Familiarity with Informatica or reverse-engineering legacy data models
- Exposure to streaming or near-real-time data pipelines
- Experience with visualization tools (tool choice is flexible)
Who Will Thrive in This Role
- A senior individual contributor who enjoys building from scratch
- Someone who can act as a modeling expert and mentor in an organization formalizing this practice
- Comfortable working in ambiguity and taking initiative
- Strong communicator who enjoys partnering with both technical and non-technical teams
- Equally comfortable discussing business concepts and physical data models
Why This Role Is Unique
- Greenfield data modeling initiative with real influence
- Opportunity to define standards that will be used across the organization
- Work on large-scale, real-world operational and analytical data
- High visibility within a growing data organization
- Flexible work setup for individual contributors
If you’re excited about shaping a modern data foundation and want to be the person who defines how data is modeled, understood, and used, this is a rare opportunity to make a lasting impact.
Job Title – Lead Data Engineer
Please note this role is not able to offer visa transfer or sponsorship now or in the future
About the role
As a Lead Data Engineer, you will make an impact by designing, building, and operating scalable, cloud‑native data platforms supporting batch and streaming use cases, with strong focus on governance, performance, and reliability. You will be a valued member of the Data Engineering team and work collaboratively with cross‑functional engineering, cloud, and architecture stakeholders.
In this role, you will:
- Design, build, and operate scalable cloud‑native data platforms supporting batch and streaming workloads with strong governance, performance, and reliability.
- Develop and operate data systems on AWS, Azure, and GCP, designing cloud‑native, scalable, and cost‑efficient data solutions.
- Build modern data architectures including data lakes, data lakehouses, and data hubs, with strong understanding of ingestion patterns, data governance, data modeling, observability, and platform best practices.
- Develop data ingestion and collection pipelines using Kafka and AWS Glue; work with modern storage formats such as Apache Iceberg and Parquet.
- Design and develop real‑time streaming pipelines using Kafka, Flink, or similar streaming frameworks, with understanding of event‑driven architectures and low‑latency data processing.
- Perform data transformation and modeling using SQL‑based frameworks and orchestration tools such as dbt, AWS Glue, and Airflow, including Slowly Changing Dimensions (SCD) and schema evolution.
- Use Apache Spark extensively for large‑scale data transformations across batch and streaming workloads.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Atlanta, GA. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- Hands‑on experience developing and operating data systems on AWS, Azure, and GCP.
- Proven ability to design cloud‑native, scalable, and cost‑efficient data solutions.
- Experience building data lakes, data lakehouses, and data hubs with strong understanding of ingestion patterns, governance, modeling, observability, and platform best practices.
- Expertise in data ingestion and collection using Kafka and AWS Glue, with experience in Apache Iceberg and Parquet.
- Strong experience designing and developing real‑time streaming pipelines using Kafka, Flink, or similar streaming frameworks.
- Deep expertise in data transformation and modeling using SQL‑based frameworks and orchestration tools including dbt, AWS Glue, and Airflow, with knowledge of SCD and schema evolution.
- Extensive experience using Apache Spark for large‑scale batch and streaming data transformations.
These will help you stand out
- Experience with event‑driven architectures and low‑latency data processing.
- Strong understanding of schema evolution, SCD modeling, and modern data modeling concepts.
- Experience with Apache Iceberg, Parquet, and modern ingestion/storage patterns.
- Strong knowledge of observability, governance, and platform best practices.
- Ability to partner effectively with cloud, architecture, and engineering teams.
Salary and Other Compensation:
Applications will be accepted until March 17, 2025.
The annual salary for this position is between $81,000 - $135,000, depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long‑term/Short‑term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.
The Strategic Data(RWD) Acquisition Manager will be an integral part of Surescripts' data ecosystem by executing negotiations with Surescripts Network Alliance partners to secure data usage rights, while also identifying and acquiring new, strategic data sources. This person will play a critical role in maintaining access to high quality data necessary for the development of solutions that will deliver value and improve the experience for stakeholders across the healthcare ecosystem. This position requires a deep understanding of healthcare data, the regulatory landscape and business development experience to successfully negotiate and secure data agreements that will enhance our product portfolio.
Responsibilities:- Identify and evaluate potential data sources of interest that expand Surescripts' data portfolio. Create comprehensive value propositions for how the data could be used within Surescripts' solutions, and valuation of the data to make offers to data sources for data acquisition.
- Drive business development efforts to secure agreements that enhance Surescripts' data portfolio. With guidance from leadership, execute strategies to identify and approach potential data partners, and successfully negotiate terms.
- Collaborate with sales and product teams to develop strategies to align customer incentives with broader data-dependent initiatives. Interface with Surescripts Network Alliance partners to negotiate data usage rights, ensuring alignment with business goals and regulatory requirements.
- Interface with data providers, industry partners, and other stakeholders.
- Manage day-to-day data procurement-related inquiries and negotiations with data providers and customers.
- Maintain a thorough understanding of privacy laws, including HIPAA permitted purposes. Collaborate with compliance, privacy, security, and data governance teams to ensure all data procurement activities comply with all state and federal regulations, internal policies, and customer contracts.
- Monitor and report on data procurement activities. Track progress of data procurement efforts, report on key metrics, and provide regular updates to senior management. Proactively identify and address any challenges or obstacles in the procurement process. Monitor and evaluate the ROI of data acquisition initiatives to prioritize high-impact opportunities.
- Keep up-to-date with the latest developments in data rights, privacy regulations, and the healthcare industry. Apply and share this knowledge to improve data procurement strategies and ensure the company remains compliant and competitive.
Qualifications:
Basic Requirements:
- Bachelor's degree in Business, Economics, Data Science, or related field;
- 8+ years of experience in business development and/or related experience in the procurement/acquisition of healthcare data.
- Strong understanding of regulations around healthcare data, including Health Insurance Portability and Accountability Act (HIPAA) and Trusted Exchange Framework and Common Agreement (TEFCA).
- Ability to evaluate the value and quality of data assets and their applicability to business needs.
- Proven experience in negotiating contracts and managing vendor relationships.
- Demonstrated success in business development and deal negotiation.
- Excellent written and verbal communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Ability to travel for team, customer and vendor meetings as needed.
- Strategic thinker with strong analytical and problem-solving abilities and results-driven mindset.
Preferred Qualifications:
- MBA or advanced degree preferred in a related field.
- Strong understanding of healthcare interoperability standards, such as Fast Healthcare Interoperability Resource (FHIR).
- Strong understanding of electronic health records (EHR), pharmacy and claims data, health information exchanges (HIE), and TEFCA qualified health information networks (QHINs)
- Familiarity with data governance tools (e.g. data mapping, lineage
#LI-remote
Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.
To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.
Why Wait? Apply Now
We're a midsize company. This means you're not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.
Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.
While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.
Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.