What Is Data Platform Architecture Jobs in Usa
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Job Overview:
As a Data Engineer, you will assist in building scalable data systems for analytics and reporting.
Responsibilities:
Develop data pipelines
Collaborate with analytics teams
Maintain cloud-based data platforms
Requirements:
Bachelor’s degree in technical discipline
Experience with SQL and cloud services
Understanding of big data tools
Title:Sr. Manager Data Governance
Location: Richardson, TX Hybrid
Duration: 6 months possibility of FTE conversion yes
JOB SUMMARY
This position incubates and establishes a leading-edge global Data Governance function to support business segments, corporate functions and the Digital & Technology stakeholders. The responsibility includes
- Liaise directly with clients and account teams to provide strategic direction on implementation of data governance programs, best practices, adoption of standards, mast data management, and data quality improvement while leveraging leading-edge data governance tools and technology.
- Collaborate with and manage highly performing data governance and data management professionals that support occupier clients and account teams.
- Provide support on data strategy execution in the adoption of data products including enterprise data platform that provides game-changing analytics in the CRE industry.
- Serve as the data governance champion of strategic data products and supporting metadata and reference data.
- Implement and support data ownership and stewardship programs for stakeholders across the business to ensure that account teams adopt improved data governance and management practices.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Participate in the strategy, planning, and execution for Enterprise Data Governance at, focusing on Building Operations & Experience (BOE) business segment. Ensure the company has urgency, sensitivity and thought leadership for competitive capabilities around data.
- Demonstrated leadership experience in a large, complex, global organization, including the ability to effectively work and communicate across organizational lines. Ensure business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program(s). Be the champion and evangelist for data, the business value, and the potential innovations. Be the trusted advisor to senior leadership and peers.
- Demonstrated experience in building relationships and leading high-performing teams with top talents around the world. Build a high performance environment and execute a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vision/ values/ business strategy and managing succession and development planning for the team.
- Collaborate with partners across business segments/ business lines, regions and accounts to develop consistent data governance capabilities at all levels, influencing decisions relating to policy, practices, supporting technology, and talent development.
- Establish leading data management practices and shared services relating to data quality, data provisioning, metadata, lineage, reference data, issue management and change management.
- Implement data governance as commodity services that could be leveraged by various clients in different industries. Understand clients' appetite and risk culture in day-to-day support activities and decision-making.
- Establish account team data governance programs. Define data domains and implement business oversight via essential data governance organizations and RACI (i.e. central data governance function, Data Ownership and Stewardship Program, etc.). Establish data standards, policies and controls. Design and implement the framework, including associated processes, necessary to sustain a data control environment. Monitoring compliance with data policies and standards
- Establish account team and cross-account data quality framework necessary to enable data quality reporting, issue identification, remediation and tracking, ultimately ensuring trust and confidence in data across domains.
- Guide the client accounts to adopt the strategic data products including existing account migrations and new account transitions. Manage data to support and its clients' business intelligence and scale appropriately with business growth.
- Experience in leading and driving leading-edge data innovation initiatives including big data, cloud computing, IoT, data virtualization and federation, etc., is a plus.
- Create and implement strategic approaches, plans, timelines, preparation of business cases to ensure expedited handling of client data protection, and other data compliance and security requirements.
- Develop and implement metrics needed to monitor/ report on data governance and data management progress
- Develop communication approaches and change management strategies; determines presentation focus and emphasis and prepares board-level presentations.
- Performs other duties as assigned.
SUPERVISORY RESPONSIBILITIES
Manages the planning, organization, and controls for a major functional area or department. Position will be responsible for managing direct reports across the Americas region and working with peers across all regions, requiring flexibility in schedule. May also be responsible for matrix reports. This position requires subordinates' recommendations for staff recruitment, selection, promotion, advancement, corrective action and termination. Effectively recommends same for direct reports to next level management for review and approval. Monitors appropriate staffing levels and reports on utilization and deployment of human resources. Leads and supports staff in areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention. Leads by example and models behaviors that are consistent with the company's values.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EDUCATION and EXPERIENCE
Bachelor's degree (BA/BS) from four-year college or university and a minimum of eight years of related experience and/or training, including five years of experience at the management level.
- 5 or more years of progressively responsible management positions in complex organizations required. Demonstrated success with high visibility projects, leaders in technology use and development, change management, budget and business case development and staff development.
- 5 or more years of related experience in related industry; commercial real estate management preferred.
- 7 or more years of data management related experience such as data analysis, data governance, enterprise information management, data modeling, and data quality management. analytics experience desired, i.e., data visualization, data analytics, data mining, business intelligence, etc.
- Candidates must have experience working in large organizations with geographically dispersed teams and complex technical environments.
- Experience in dealing with internal and external customers, service providers and vendors. Must be able to manage competing priorities. Needs to be resilient; resolving conflicts quickly to achieve desired business results.
- Bachelor's degree in business administration, Information Management, MIS, Business Intelligence and Data Science, Library Science, Computer Science or related fields; advanced degree preferred.
CERTIFICATES and/or LICENSES
None
COMMUNICATION SKILLS
- Ability to comprehend, analyze, and interpret the most complex business documents. Ability to respond effectively to the most sensitive issues. Ability to write reports, manuals, speeches and articles using distinctive style. Ability to make effective and persuasive presentations on complex topics to employees, clients, top management and/or public groups. Ability to motivate and negotiate effectively with key employees, top management, and client groups to take desired action.
- Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space
- Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients.
- Excellent collaboration, influence and leadership skills. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues.
- Relationship management skills that include excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections
FINANCIAL KNOWLEDGE
- Requires basic knowledge of financial terms and principles.
- Participates in complex financial/business analysis and report reviews prepared peers or leaders.
- Manages to and oversees department budget.
REASONING ABILITY
- Ability to solve advanced problems and deal with a variety of options in complex situations. Requires expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based environment. Draws upon the analysis of others and makes recommendations that have a direct impact on the company.
- Understanding of global organizational design and the ability to shape and drive large-scale, cross-functional programs around people, technology, processes, and tools.
- Demonstrated ability to balance long-term strategy with quick wins.
- Demonstrated ability for strategic influencing and education of cross-functional stakeholders about the strategic importance and value of data governance
- Excellent managerial skills; collaborative, imaginative, resourceful, reliable, technically savvy.
- Superior analytical and creative problem-solving skills. Demonstrated successes in data analysis, drawing conclusions and improvement. Apply listening and consultative skills to understand business needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to business processes across the organization.
- Ability to work well under deadlines, ability to work in a multi-tasking production environment to make good judgments about competing priorities.
- Ability to tell a story to explain or sell a concept.
OTHER SKILLS and/or ABILITIES
- Utilizes an entrepreneurial approach and develops innovative solutions.
- Ability to write business cases, process maps, presentation materials and articles using distinctive style.
- Ability to make effective and persuasive presentations on complex topics across various levels of leadership
- Expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based multi-industry sales environment.
- Ability to use strong conceptual and analytical skills to generate insights and recommendations.
- Demonstrated information management and quantitative skills, including working knowledge of IT infrastructure, various technologies/ platforms, and aligned vendor solutions with enterprise strategic priorities.
- Experience managing small to mid-size teams and delivering results.
- Thorough knowledge of cutting-edge data management tools, industry advances, etc.
- Superior project management/ consulting and leadership skills. Demonstrated ability to facilitate complex, mission critical projects and to develop, participate in and guide multi-disciplinary work teams. Manage task timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with Data Governance services or deliverables.
- Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues.
- Advanced understanding of data quality management. Knowledge of data governance and how it impacts business processes.
- Knowledge of master data management in a global environment, including data lifecycle and maintenance processes.
- Skills in MS Visio, Word and PowerPoint is a plus.
- Experience with reference data management tools at including Collibra, MS Excel, SQL query, etc., is a plus.
- Software development lifecycle knowledge, with background in agile philosophies and
Role - Lead Data Analyst
Location : Denver, CO [Local Only] In-person client interview
Job Summary
This role is responsible for extracting meaningful information and providing the business with actionable recommendations to drive outcomes. Responsible for leveraging existing data sources and creating new analysis methods.
Major Duties And Responsibilities
- Actively and consistently supports all efforts to simplify and enhance the customer experience.
- Lead client teams to define clear business requirements for data analysis projects.
- Provide metrics definition, data visualizations, and ETL requirements.
- Extract, clean and engineer data to be ready for analysis.
- Interpret data, formulate hypotheses and develop an analytical approach to meet business requirements
- Create customer-readable reports using advanced visualization tools such as Tableau, PowerBI, Excel, etc.
- Work to obtain and ingest new reference data sources required to deliver on business need.
- Communicate results and make recommendations using data visualization and presentations.
- Create analyses and dashboards that are usable, elegant and industry leading.
Required Qualifications
- Ability to read, write, speak and understand English
- Demonstrated in-depth ability to analyze, interpret and present data
- Demonstrated in-depth ability to make decisions and solve problems while working under pressure
- Demonstrated in-depth ability to prioritize and organize effectively
- Demonstrated mastery of advanced analytics processes and reporting design principles
- Demonstrated mastery in SQL, Python, or R
- Demonstrated in-depth proficiency of design and implementation practices within data visualization tools
- Effective communication skills, verbal and written, for internal and external customers
- Ability to communicate complex technical concepts to all levels of an organization to aid in decision-making
Required Education
- Bachelor's degree in Computer Science, Engineering or related field; or equivalent experience
Required Related Work Experience and Number of Years
- 7+ years’ experience working within a data platform/data analysis environment
- 7+ years’ experience in a customer facing products/services environment
- Technical Lead, exp in more industries, more expert than Data Insight Analysts
Clinical Data Scientist
Redwood City, CA (Hybrid potentially remote options)
Salary: $150,000-$190,000
No Sponsorship Available
About the Role
We are seeking a Clinical Data Scientist to play a pivotal role in transforming complex clinical datasets into high‑quality, analysis‑ready outputs used to support clinical trials and real‑world evidence initiatives.
In this role, you will operate at the intersection of data science, clinical research, and statistical programming. You’ll be responsible for validating, cleaning, and structuring data originating from multiple sources—including expert manual abstraction teams, AI‑assisted pipelines, EMR feeds, and EDC systems.
You’ll collaborate closely with Clinical Operations, Data Engineering, and AI/ML teams to ensure accuracy, traceability, and compliance across every dataset delivered internally or externally.
This role is ideal for someone who is detail‑obsessed, technically versatile, and passionate about elevating the quality of clinical data used in drug development.
What You’ll Do
- Convert raw, manually abstracted, and AI‑processed datasets into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models.
- Ensure outputs meet quality, compliance, and traceability standards.
- Generate TLFs (Tables, Listings, Figures) for clinical reports and interim analyses using SAS, R, or Python.
- Perform robust data cleaning and QC checks.
- Investigate anomalies and troubleshoot issues across the data pipeline.
- Distinguish between upstream extraction issues and true clinical variations.
- Partner with Data Platform and AI teams to automate cleaning scripts, validations, and workflow logic.
- Serve as an early user and feedback partner for internal data tools.
- Maintain documentation for data derivations, specifications, and validation logic (e.g., Define.xml, Reviewers Guides).
- Support compliance and regulatory submission needs.
- Complete internal and external analysis requests to support clinical insights, client value, and platform performance.
- Apply HIPAA-aligned data safeguards and adhere to best practices across privacy, security, and data governance.
What You Bring
- Education:
- BSc/MSc in Statistics, Mathematics, Computer Science, Life Sciences, or related field.
- Experience:
- 2–5+ years in clinical data science, statistical programming, or data management in pharma/biotech.
- Technical Strengths:
- SAS, R, Python, SQL
- Experience with Git/version control preferred
- Industry Knowledge:
- Familiarity with clinical trial workflows
- Strong understanding of CDISC SDTM/ADaM
- Oncology endpoints (RECIST, survival) and RWD experience is a plus
- Data Wrangling:
- Comfort “stitching together” messy, real‑world clinical datasets
- Experience with unstructured text or NLP outputs is desirable
- Soft Skills:
- Exceptional attention to detail
- Clear, structured communicator
- Proactive, self‑directed, collaborative
*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:
$111,300.00 - $207,800.00Pay 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
Remote working/work at home options are available for this role.
Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.
Security Advisory: Beware of Frauds
Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @ email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.
We are building a Business Operations Center of Excellence, and we need a Product Data Analyst to serve as the "Guardian of the Golden Record." In this role, you are the absolute owner of product data integrity as it relates to the digital customer experience. You ensure that every item we sell is accurately represented across every touchpoint—from our ERP and PIM to our website storefront and marketing feeds. This is not a data entry role; it is a high-impact technical logic and investigation role. You will work directly with our Data Platform and Software Engineering teams to define business rules, audit data health via complex SQL, and troubleshoot data transmission errors before they impact the customer.
Responsibilities
- Storefront Governance: Serve as the absolute owner of product data integrity within the PIM. Ensure that all storefront-critical attributes (pricing, dimensions, weights, image links) are accurate and standardized for a seamless customer experience.
- Technical Data Auditing: Write and run complex SQL queries against our centralized database to identify anomalies, "orphan" records, and data hygiene issues that need resolution. You will be expected to query across multiple schemas to validate data consistency between systems.
- Feed Logic & Mapping: You will manage the logic of how data translates from our PIM to external endpoints. You will ensure that our products appear correctly on Google Shopping, Meta, Amazon, and other marketplaces by managing feed rules and mapping definitions.
- API Payload Analysis: You will act as the first line of defense for data transmission errors. If a product isn't showing up on the site, you will review the JSON/XML response bodies to determine if it is a data payload error or a software code bug.
- Cross-Functional Impact Analysis: You will act as the gatekeeper for data changes, predicting downstream impacts (e.g., "If Merchandising changes this Category Name, it will break the Finance reporting filter").
- Hygiene Logic Definition: You will partner with our IT/Database team to define automated health checks. You identify the "rot" (bad data patterns), and they implement the database constraints to stop it.
What You Will NOT Do (The Boundaries)
- No Web Development: You are not a Front-End Developer. You do not write HTML, CSS, or React code. You ensure the data powering those components is 100% accurate.
- No Manual Data Entry: Your job is not to copy-paste descriptions. You build the systems, bulk processes, and logic that ensure data quality at scale.
- No Database Administration: You do not manage server uptime or schema changes (IT owns this). You own the quality of the records inside the database.
Intersection with Technical Teams
- With IT (Database Mgmt): IT owns the infrastructure and schema; you own the quality of the data within it. When you identify a systemic issue (e.g., "5,000 orphan records"), you partner with IT to implement the technical fix (scripts/constraints).
- With Software Engineering (Commerce): If a product is missing from the site, you check the data payload. If the data is correct, you hand off to Engineering, confirming it is a code/caching bug rather than a data error.
Experience, Skills, & Ability Requirements
- 5-8 years of experience in Data Management, PIM Administration, or technical eCommerce Operations.
- SQL Proficiency: You are comfortable writing queries beyond simple SELECT *. You should be proficient with CTEs (Common Table Expressions), Window Functions (e.g., Rank, Lead/Lag), Subqueries, and complex Joins to act as a forensic data investigator.
- API Fluency: You can read and understand JSON and XML. You know what a valid payload looks like and can spot formatting errors or missing keys.
- Data Manipulation: You are an expert at handling large datasets (CSVs, Excel) and understand data types, formatting standards, and normalization concepts.
- You love hunting down the root cause of an error. You don't just fix the wrong price; you find out why the price was wrong and build a rule to stop it from happening again.
- You have high standards for accuracy. You understand that a wrong weight in the system means a financial loss on shipping for the business.
Bonus Points (Nice-to-Haves)
- Familiarity with Visio/Lucidchart to visualize data flows.
- Ability to build simple dashboards in Tableau to track data health scores.
- Basic familiarity with Python or R for data manipulation.
What We Offer
- Health, dental, and vision benefits
- Paid parental leave
- 401(k) with employer match
- A culture of meritocracy that fosters ongoing growth opportunities
- A stable, growing family-owned company that looks after its employees
Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.
*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*
Summary
As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.
This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.
You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.
Responsibilities include but are not limited to:
AI Solution Development & Deployment
Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.
Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).
Operational Model Support & Optimization
Monitor model performance, data drift, and operational KPIs.
Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.
Establish measurement frameworks to quantify operational impact of deployed solutions.
Data Engineering & Analytical Execution
Transform structured, semi-structured, and unstructured data into actionable features and insights.
Perform exploratory analysis and visualization to identify operational improvement opportunities.
Collaborate with engineering teams to productionize data solutions.
Stakeholder Engagement & Explainability
Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.
Communicate complex AI methodologies and results clearly to technical and non-technical audiences.
Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.
Required Qualifications
Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.
Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.
Experience building operationalized data science solutions (not just prototypes).
Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.
Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.
Strong ethical judgment with a commitment to responsible and unbiased AI development.
Preferred Qualifications
2+ years of hands-on experience in data science, applied AI, or machine learning.
Experience supporting AI solutions in operational or production environments.
Familiarity with MLOps practices, model governance frameworks, and automation tooling.
Experience working in regulated industries (financial services preferred).
#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:
$72,000.00 - $134,000.00Pay 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
Remote working/work at home options are available for this role.
Job Title: Project Administrator - Data Center Information Technology/Design/Engineer Firm
Job Type: Full-time
Job Location: On-Site Edison, NJ
Project Administrator
NJ Data Center growing Information Technology/Design/Engineer Firm is seeking a Project Administrator to join our team. The Project Administrator is responsible for managing the administrative tasks and logistical aspects of data center construction or expansion projects, including coordinating with various teams, tracking project progress, maintaining documentation, and ensuring smooth execution of project activities under the guidance of a project manager, all while adhering to deadlines and budget constraints; essentially acting as the organizational backbone for the project.
Responsibilities include but are not limited to:
- Support project team on all administrative tasks and duties.
- Heavy client/vendor/supplier interaction.
- Preparation of spreadsheet reports, contracts documents, purchase and change order requests, presentations, and correspondence.
- Receive, maintain and distribute submittals, RFI’s, shop drawings and establish project log to record receipt and disposition of same.
- Coordinate project meetings and travel arrangements.
- Maintain electronic and manual database of all project files and archives.
- Other responsibilities normally performed in the execution of a Project Administrator position according to standard Architectural/Engineering industry practices.
- Assist architects/engineers with editing/issuing project book specifications (electronic IE: Master Specs).
Qualifications:
- Three to five years experience in Engineering firms or related fields.
- BA is recommended.
- Must exhibit initiative, judgment, and quality in performance and responsibilities.
- Deadline and detail oriented.
- Proficiency in Microsoft Office, Word, Excel, Outlook, Power Point.
- Ability to work well with multi disciplines in a fast paced environment.
Work Schedule:
This is a full-time job position. In office, not remote or virtual.
Normal business hours are Monday thru Friday 8-5pm.
Benefits:
- 401 k match to $3500
- Full health medical/dental/prescription/life insurance (75% paid by employer 20-25% paid by employee)
- After 3/5 years eligibility based on rating for company owned NJ shore house
- Tuition reimbursement for employee
- Subjective year end bonus plan(end September)
- Awards/recognition for superior effort and extraordinary excellence
- Longevity awards 5/10/15/20/25/30 plus years
- After 15 years education assistance for children eligibility
- After 15 years eligibility for additional retirement compensative (elective)
BRUNS-PAK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, gender identity and/or expression, national origin, disability, veteran, or other protected status.
- Onsite 12 Months Contract Looking only Locals who can do Onsite Interview We are seeking an Enterprise Agentic Platform Specialist to lead the design, development, and delivery of enterprise-scale Data Science and Generative AI (GenAI) solutions.
This role will drive the implementation of AI agents, LLM orchestration frameworks, and enterprise automation pipelines, working cross-functionally with business stakeholders, data engineers, data scientists, DevOps teams, and UI developers.
The ideal candidate will combine hands-on GenAI engineering expertise with strong program delivery capabilities, ensuring solutions deliver measurable business outcomes while meeting enterprise standards for governance, security, and Responsible AI.
Key Responsibilities AI Agent and GenAI Development Lead the end-to-end delivery of enterprise data science and GenAI solutions.
Design, develop, and deploy AI agents using Microsoft Copilot Studio, Claude agent frameworks, and enterprise LLM orchestration patterns.
Implement prompt engineering strategies, grounding techniques, and Retrieval-Augmented Generation (RAG) pipelines.
Architecture and Integration Define architecture standards for agentic systems, including tool calling schemas, prompt frameworks, grounding flows, and RAG pipelines.
Translate complex workflows into modular, automated, event-driven pipelines.
Integrate AI solutions with enterprise systems via REST APIs, Power Platform connectors, and enterprise data services.
Connect Copilot Studio agents to enterprise data sources such as: SharePoint Dataverse SQL SAP Enterprise Platform Integration Oversee system integration across enterprise platforms including: ServiceNow SharePoint Microsoft Teams Power Automate Azure APIs Design MCP-based agent architectures, integration layers, authentication flows (OAuth / Microsoft Entra), and system messaging frameworks.
Governance, Security and Responsible AI Collaborate with AI architects, MLOps teams, and security teams to enforce: Responsible AI standards Data governance policies Security and access control frameworks Model safety guidelines Implement agent observability frameworks including logging, telemetry instrumentation, latency metrics, error tracking, and automated remediation workflows.
Delivery and Program Management Lead cross-functional teams delivering AI solutions across data engineering, data science, DevOps, and UX teams.
Manage delivery using Agile / Scrum or hybrid PM methodologies.
Track dependencies, risks, sprint alignment, and release orchestration.
Metrics and Performance Monitoring Define KPIs and operational dashboards for AI automation, including: Cycle time reduction Accuracy improvements Governance compliance Agent uptime and reliability Required Qualifications Hands-on experience delivering enterprise Data Science and GenAI solutions.
Experience designing and deploying AI agents using Microsoft Copilot Studio or similar agent frameworks.
Strong knowledge of LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).
Experience integrating AI solutions with enterprise platforms and APIs.
Understanding of MLOps, governance frameworks, and Responsible AI standards.
Experience working in Agile delivery environments with cross-functional teams.
Preferred Qualifications Hands-on expertise building agents in Microsoft Copilot Studio.
Familiarity with agent frameworks such as: LangChain AutoGen CrewAI OpenAI Assistants / Functions APIs Experience implementing enterprise AI observability and monitoring frameworks.
Strong understanding of enterprise security, authentication, and governance models.
Thanks Sri Vardhan Chilakamukku Infobahn SoftWorld Inc.
Overall Responsibility:
This role supports the design, development, and optimization of Arora’s enterprise data and ERP systems. This role reports directly under the Data Analytics Manager to improve financial reporting, support platform integrations, and build scalable data architecture that enables informed decision-making across the organization.
The position combines technical execution (SQL, automation, system configuration) with financial reporting support and cross-platform integration work to ensure accuracy, efficiency, and long-term system sustainability.
Essential Functions:
- Execute reporting and system requests in alignment with established data governance standards and reporting frameworks under the direction of the Data Analytics Manager.
- Contribute to the design of data models and system workflows that reduce manual processes and improve cross-functional data visibility.
- Support internal dashboards by creating backend data solutions and integrating with Vision.
- Provide system-level troubleshooting and ensure data consistency and reliability across platforms.
- Collaborate with teams to streamline processes through automation and data tools.
- Maintain documentation of data procedures, workflows, and system modifications.
- Support financial reporting and analysis by developing standardized, scalable reporting solutions aligned with company-wide data architecture.
- Assist in translating financial and operational requirements into structured reporting outputs and automation workflows.
- Assist in platform integrations (ERP, CRM, BI tools, and other enterprise systems) to support long-term architectural alignment and scalability.
Needed Skills:
- Ability to program in SQL at an expert level to assist data processes. Potential need for other programming language knowledge (Java, Python, etc.).
- Ability to create and maintain productive relationships with employees, clients, and vendors.
Education/Experience Minimum:
- 3-5 years of experience
- Strong programming skills having the ability to write complex queries.
- Preferred familiarity with all Microsoft platforms, including but not limited to Excel, Power BI, SharePoint, and SQL Server.
- Preferred experience with Deltek Vision v7.6 and VantagePoint
- Experience in building automated processes and data workflows.
- Strong problem-solving and attention to detail.