Data Driven Vs Theory Driven Jobs in Usa

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here

Our client, a luxury fashion brand, is seeking a CRM Data Analyst Temp to join their NYC team on a temporary basis.

Responsibilities:

• Transform complex client analyses into clear, concise, and visually engaging PowerPoint presentations, influencing stakeholders through compelling data-driven narratives.
• Use product knowledge of our systems, tools, and the client database to identify and implement innovative approaches to client analysis
• Create insightful reports that enable data-driven decisions for home office partners, and proactively explore and implement automation opportunities to enhance efficiency
• Collaborate with key home office partners (e.g. VIC, Fashion Expertise, Events, Retail Operations, Merchandising teams) to support respective team goals and inform strategies with client data
• Dynamically support boutiques with complex client reporting needs and initiatives
• Spend time with boutique teams to understand their individual needs and collaborate on ways to support Fashion Advisors with client data and client tools
• Liaise with divisional counterparts to unlock synergies and align on key initiatives and priorities
• Demonstrate expert-level knowledge of current client data tools (Salesforce, Looker) to pull with speed, and proactively identify and communicate process improvements to enhance efficiency and effectiveness of reporting and segmentation tools as needed
• Project manage the implementation of database and/or tool enhancements from concept to QA and final delivery in order to meet the evolving needs of business partners and team, collaborating closely with Tech to translate business requirements into actionable technical specifications

Qualifications:

• 7+ years experience in data analytics or strategy/business intelligence role
• Experience with Salesforce
• Experience with Looker Studio
• Prior professional experience collaborating with cross-functional partners to design and launch a new technical platform
• Familiarity with IT functions, including system architect and landscape
• Expertise in Excel and PowerPoint
• Ability to communicate ideas effectively to a range of audiences (written & verbal)
• Luxury retail and/or brand experience preferred

Please submit your resume for consideration.

You can use to collect and manage your references for free and share them with us or anyone else you choose. Candidates with references are always preferred by our clients. Now is the most important time to stand out from the crowd. We suggest that you ensure you have updated your LinkedIn profile and that you start collecting your references early.

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About This Role:

Crusoe Energy is seeking a Portfolio Schedule Manager, Project Controls to provide leadership and governance across scheduling for large-scale, complex capital programs, including hyperscale data center projects. This role operates at the portfolio level, ensuring schedule integrity, consistency, and transparency across multiple concurrent projects.

The Portfolio Schedule Manager will establish and enforce scheduling standards, integrate execution schedules with cost insights, and deliver clear, actionable reporting to senior leadership and Crusoe clients. This role is ideal for a seasoned project controls professional who brings deep scheduling expertise, strong leadership skills, and the ability to connect schedule performance to broader program and financial outcomes.

What you’ll be working on:

• Lead portfolio-level construction scheduling and project controls across multiple large infrastructure or hyperscale data center projects
• Establish, enforce, and continuously improve minimum scheduling standards, including schedule structure, coding, progress measurement, update cadence, and reporting
• Own portfolio schedule reporting, clearly communicating schedule health, forecasted milestones, critical path impacts, and overall delivery risk to leadership and clients
• Integrate schedule and cost insights to highlight schedule-driven cost risks, acceleration impacts, and downstream financial implications
• Oversee and support onsite and regional scheduling services teams, providing direction, quality assurance, escalation support, and alignment to portfolio standards
• Bridge execution schedules with baseline planning assumptions by partnering closely with Preconstruction to ensure continuity from planning through delivery
• Own the onboarding and transition of schedules from Preconstruction into active project delivery, ensuring alignment with general contractors and key vendors
• Collaborate with consultants, Preconstruction, Construction, general contractors, and OFE vendors to integrate contractor schedules into a unified, program-level schedule
• Support data-driven decision-making by providing timely, accurate schedule insights across the portfolio

What you’ll bring to the team:

• Bachelor’s degree in Engineering, Construction Management, or a related technical discipline
• 12+ years of experience in construction scheduling and project controls for large infrastructure, hyperscale data center, or complex capital programs
• Advanced scheduling expertise; Primavera P6 proficiency and/or advanced scheduling certifications strongly preferred
• Proven experience establishing and enforcing scheduling standards across multi-project portfolios
• Strong ability to assess schedule health, critical path impacts, and milestone risk at both project and portfolio levels
• Experience integrating schedule and cost data to inform leadership decisions
• Demonstrated leadership managing and guiding scheduling teams and external service providers
• Strong communication skills with the ability to present complex schedule information clearly to senior stakeholders and clients

Benefits:

• Industry competitive pay
• Restricted Stock Units in a fast growing, well-funded technology company
• Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
• Employer contributions to HSA accounts
• Paid parental leave
• Paid life insurance, short-term and long-term disability
• Teladoc
• 401(k) with a 100% match up to 4% of salary
• Generous paid time off and holiday schedule
• Cell phone reimbursement
• Tuition reimbursement
• Subscription to the Calm app
• MetLife Legal
• Company paid commuter benefit; $50 per pay period

Compensation Range:

Compensation will be paid in the range of $180,000 – $225,000. Restricted Stock Units are included in all offers. Compensation will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Job Opportunity: Data Product Manager

Location: Cleveland, Ohio/ Pittsburgh, Pennsylvania Hybrid

Duration: Full-Time

Key Responsibility

Product Ownership & Strategy

• Own end-to-end lifecycle of assigned data products, including vision, strategy, roadmap, and delivery.
• Collaborate with business units, analytics teams, and technology partners to prioritize features and enhancements.
• Define and track key product success metrics and adoption KPIs.
• Advocate for data products across the organization, ensuring alignment with enterprise data governance and cloud/data strategy initiatives.
• Stakeholder Engagement
• Act as the primary liaison between business stakeholders and data engineering/analytics teams.
• Gather and translate business requirements into actionable data product specifications.
• Facilitate cross-functional collaboration to resolve trade-offs and dependencies.

Data Governance & Quality

• Ensure data products comply with regulatory, security, and privacy requirements.
• Define and enforce data quality standards, lineage, and observability metrics.
• Collaborate with Data Governance, Risk, and IT Security teams to maintain compliance and audit readiness.

Technical Leadership

• Understand and leverage modern data technologies (e.g., relational databases, data warehouses, data lakes, ETL pipelines, cloud platforms, APIs, BI tools).
• Collaborate with data engineering teams on architecture, modeling, and platform decisions.
• Evaluate emerging technologies and recommend innovations to improve data products and processes.

Execution & Delivery

• Drive delivery of data products using agile methodologies.
• Prioritize backlog, manage sprints, and ensure timely delivery of features.
• Monitor and measure product performance, adoption, and business impact.
• Thought Leadership
• Contribute to the overall data product management framework and best practices within the bank.
• Promote a culture of data-driven decision-making and product-centric thinking.

Required Qualifications

• 8+ years of experience in data product management, data strategy, or analytics roles; experience in banking/financial services preferred.
• Strong understanding of core banking products (e.g., deposits, loans, payments) and associated operational data flows.
• Solid knowledge of data architecture, warehousing, BI, analytics, and cloud platforms.
• Proven ability to manage multiple data products simultaneously.
• Excellent communication, stakeholder management, and leadership skills.
• Experience with Agile/Scrum methodologies and data governance frameworks.
• Bachelor’s degree in Computer Science, Information Systems, Finance, or related field; advanced degree preferred.

Preferred Qualifications

• Hands-on experience with HiveQL, SQL, Tableau
• Understanding of regulatory reporting requirements (e.g., CCAR, FR Y-14, Basel).
• Exposure to semantic layers, or enterprise data product management frameworks.

The Business Data Analyst will play a critical role in supporting data-driven decision-making for core PMA business functions. This position is focused on extracting valuable insights from complex datasets, creating operational reports, and developing intuitive BI dashboards tailored to business needs. Working within an enterprise reporting structure, the analyst will perform on-demand data discovery, conduct trend analysis, and develop analytics tools that empower stakeholders with meaningful insights. By ensuring data accuracy, quality and relevance, this role will support data governance activities and continuous process improvements that align with strategic objectives.

Responsibilities:

Data Analysis & Business Insights
* Conduct in-depth data analysis to support strategic business initiatives.
* Perform trend analysis and develop predictive insights to help business teams identify patterns, risks, and opportunities.
* Respond to data discovery requests and operational reports development to support key business metrics and decision-making.
* Deploy best practices and make recommendations for improved understanding.
* Translate complex data findings into actionable recommendations, presenting insights in a clear and meaningful way for non-technical stakeholders.
Enterprise Reporting & BI Dashboard Development
* Work closely with business stakeholders to understand their reporting needs, providing insights that drive data-informed decisions.
* Design, develop, and maintain interactive BI dashboards tailored to answering critical business questions, providing real-time access to critical metrics and performance insights.
* Utilize enterprise BI tools to create data visualizations that enable easy exploration of data and insights.
* Partner with stakeholders to test and refine dashboards, ensuring they align with business requirements and enhance decision-making capabilities.
* Facilitate training and support for business users on BI dashboards and reporting tools, enabling self-service access to data insights.
Data Quality Support & Validation
* Collaborate with data governance and data engineering teams to ensure high data quality and integrity in enterprise reports and dashboards.
* Perform data validation and verification as part of report development to ensure data accuracy, consistency, and relevance for business users.
* Monitor data accuracy metrics and support data issue resolution, maintaining a high standard of data quality across reporting tools.
* Demonstrate commitment to Company's Code of Business Conduct and Ethics, and apply knowledge of compliance policies and procedures, standards and laws applicable to job responsibilities in the performance of work.

* 3+ years of experience in data, analytics, or business intelligence.
* Bachelor's degree in Information Management, Data Science, Computer Science, Mathematics, Statistics, Economics, Psychology or a related field.
* Proficient in SQL for data extraction and manipulation across various data sources.
* Strong analytical skills to interpret complex datasets and draw actionable insights.
* Experience with BI platforms like QlikSense or Power BI for data visualization and dashboard development.
* Familiar with advanced Excel functions for data manipulation and reporting.
* Understanding of statistical methods and trend analysis for identifying patterns and creating projections.
* Familiar with predictive modeling or basic machine learning concepts is a plus.
* Proficiency with scripting languages or tools (such as Python, R, or VBA) for process automation is a plus.
* Basic understanding of data integration, ETL processes, and data warehousing concepts.
* Skilled in presenting data in a way that tells a compelling story and drives informed decision-making.
* Strong interpersonal skills to work effectively with cross-functional teams in underwriting, finance, and IT.
* High level of precision in data analysis, ensuring reports and insights are accurate and free of errors.
* Analytical mindset to investigate data challenges, identify root causes, and develop efficient solutions.
* Ability to adapt to evolving data requirements and troubleshoot issues with minimal supervision.
* Strong organizational skills to balance multiple projects and meet reporting deadlines.
* Effective time management to handle ad hoc requests and prioritize tasks in a fast-paced environment.
* Open and motivated to learn new tools, methods, and data practices.

The Manager of Data is responsible for overseeing the collection, management, and analysis of institutional data to support decision-making and strategic planning. This role involves leading a team of data analysts and ensuring data integrity, security, and compliance with relevant regulations. Additionally, the manager collaborates with various departments to develop data governance policies and implement effective data management practices that enhance the institution's ability to leverage data for improved outcomes.

Job Duty 1 -
Oversee the development and implementation of data management strategies to ensure the accurate collection, storage, and retrieval of institutional data.

Job Duty 9 -
Collaborate with academic and administrative departments to identify data needs and develop solutions that enhance data accessibility and usability.

Job Duty 10 -
Perform other duties as assigned.

Job Duty 2 -
Lead a team of data analysts in conducting data analysis and reporting to support institutional decision-making and strategic initiatives.

Job Duty 3 -
Establish and enforce data governance policies to ensure data quality, integrity, and compliance with relevant regulations and standards.

Job Duty 4 -
Monitor data management systems and tools, ensuring they are maintained, updated, and aligned with best practices in data security and privacy.

Job Duty 5 -
Provide training and support to staff on data management practices, tools, and analytical techniques to foster a data-driven culture within the institution.

Job Duty 6 -
Conduct regular audits of data processes and systems to identify areas for improvement and implement corrective actions as needed.

Job Duty 7 -
Prepare and present comprehensive reports on data trends, analysis findings, and management initiatives to senior leadership and relevant stakeholders.

Job Duty 8 -
Stay informed about emerging data management technologies and methodologies to continually enhance the institution's data management capabilities.

Educational Requirements
Bachelor's degree in related discipline or equivalent, related experience.

Required Experience
5+ years of relevant experience; 3+ years of supervisory knowledge.

Preferred Educational Qualifications
Master's degree in related discipline or equivalent, related experience.

• Master's degree in Computer Science, Information Technology, Information System, Data Science, Business Administration, related discipline or equivalent, related experience.
• Certified Data Management Professional certification.
• Experience designing, implementing and operating Security Information Management solutions such as SIMS or ThreatSwitch.
• Advanced knowledge of SQL, database design and data modeling expertise.
• Experience in managing and securing enterprise security database systems containing sensitive and regulated data.
• Experience in cross-departmental collaboration during security investigations, assessments, and compliance reviews.

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). This position is in the Research Security Department (RS) of GTRI.

Company Description

Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.

• Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.

• Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.

• Dare to innovate:We challenge the status quo with creativity and innovation as our true north.

• Better together:We check our egos at the door. We work together, so we win together.

We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks technologies. This role involves building robust data pipelines, optimizing data workflows, and ensuring data quality and governance across the platform. You will collaborate closely with analytics, data science, and business teams to enable data-driven decision-making.

Duties & Responsibilities:

• Design, build, and optimizedata pipelinesand workflows inAzureandDatabricks, including Data Lake and SQL Database integrations.
• Implement scalableETL/ELT frameworksusingAzure Data Factory,Databricks, andSpark.
• Optimize data structures and queries for performance, reliability, and cost efficiency.
• Drivedata quality and governance initiatives, including metadata management and validation frameworks.
• Collaborate with cross-functional teams to define and implementdata modelsaligned with business and analytical requirements.
• Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
• Ensure adherence tosecurity, compliance, and data privacystandards.
• Mentor junior engineers and contribute to establishingengineering best practices.
• SupportCI/CD pipeline developmentfor data workflows using GitLab or Azure DevOps.
• Partner with data consumers to publish curated datasets into reporting tools such asPower BI.
• Stay current with advancements inAzure, Databricks, Delta Lake, and data architecture trends.

Technical Skills:

• Advanced proficiency inAzure 5+ years(Data Lake, ADF, SQL).
• Strong expertise inDatabricks (5+ years),Apache Spark (5+ years), andDelta Lake (5+ years).
• Proficient inSQL (10+ years)andPython (5+ years); familiarity withScalais a plus.
• Strong understanding ofdata modeling,data governance, andmetadata management.
• Knowledge ofsource control (Git),CI/CD, and modern DevOps practices.
• Familiarity withPower BIvisualization tool.

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• 7+ yearsof experience in data engineering, with significant hands-on work incloud-based data platforms (Azure).
• Experience buildingreal-time data pipelinesand streaming frameworks.
• Strong analytical and problem-solving skills.
• Proven ability tolead projectsand mentor engineers.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or a related field.
• Exposure tomachine learning integrationwithin data engineering pipelines.

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $110,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here:legal-privacy/

• Growth opportunities to uplevel your career
• A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
• Competitive compensation and comprehensive benefits focused on well-being
• An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace.

• Lead and oversee the successful execution of operational workflows and health care quality data deliverables.
• Have experience working with HEDIS, Medicare Stars, and NYSDOH QARR measures data and a good understanding of health care quality measurement.
• Conduct analysis of large data sets to support health care quality improvement initiatives, including gap analysis, process optimization, and patient engagement.
• Collaborate with cross-functional teams to design, implement, and maintain data solutions that meet the needs of stakeholders and business partners.
• Ensure the accuracy and integrity of data through the development and implementation of data quality control processes and procedures.
• Provide training and mentorship to team members to promote growth and development.
• Participate in the development of data governance policies, standards, and procedures, and ensure compliance with regulatory requirements and industry best practices.
• Present data insights and recommendations to leadership, effectively communicating complex technical information to non-technical stakeholders.
• Continuously monitor and evaluate the effectiveness of operational workflows, making recommendations for improvements and leading implementation efforts as necessary.

• Strong analytical skills, with the ability to turn data into actionable insights.
• Proficiency in SQL, Azure Databricks, data visualization tools (e.g. Tableau, PowerBI), and data manipulation tools (e.g. Alteryx, R, Python).
• Excellent verbal and written communication skills, with the ability to effectively communicate technical information to both technical and non-technical stakeholders.
• Ability to work independently and as part of a team, with strong project management skills and the ability to prioritize tasks effectively.
• Keen attention to detail.
• Subject matter expertise of healthcare industry quality metrics, Medicare Stars and HEDIS standards.

Hi ,

This is Vamshi ,from Software Technology We have a job opening with our client for position DBA/DATA Architect If you are available and looking for any new opportunities, please send me your updated resume for below position ASAP.

Job Title: DBA/DATA Architect

Location: Denver, CO (Hybrid 3 days work form office)

Duration: Full Time/Longterm Contract

Must have skills: Architect level good; but should be hands-on with proactive driver mindset (individual contributor; no team management responsibility)

Skills To Be Evaluated On

Azure Data Factory, MS SQL Server DBA, Performance Tuning, Data Pipeline, Data Management

Technical Skills

• Azure Data Factory, Azure Data Lake Storage (ADLS), Azure Databricks, Azure SQL Database.
• Strong SQL, Python, Scala, and PySpark.
• Experience in building data models and schema design.
• Experience with SSIS
• Oracle DB experience would be a Plus

Roles & Responsibilities

• Design, build, and optimize data pipelines and ETL processes using Azure Data Factory and Databricks.
• Manage Azure SQL Database, including performance tuning, indexing, and query optimization.
• Design scalable data solutions, data lakes (ADLS), and data warehousing solutions.
• Ensure data security, quality, and integrity throughout the lifecycle.
• Monitor data pipelines and resolve performance issues or failures.
• Work with data scientists and analysts to support data-driven decision-making.

Thanks,

Vamshi Thangadpalli

Technical Recruiter

Email: | Web: :// Overlook Center, Suite 200

Princeton, NJ 08540.