Product Management Analyst - Data Platform & Governance

Responsibilities for this Position

Location: Any Location / Remote
Full Part/Time: Full time
Job Req: RQ226881

Type of Requisition:
Regular

Clearance Level Must Currently Possess:
None

Clearance Level Must Be Able to Obtain:
None

Public Trust/Other Required:
None

Job Family:
Software Engineering

Job Qualifications:

Skills:
Production Management, Product Ownership, SQL Tools
Certifications:
None
Experience:
2 + years of related experience
US Citizenship Required:
No

Job Description:

We're seeking a Product Management Analyst with deep, hands-on experience in data analytics, data governance, and data engineering , who can drive value from enterprise data platforms through disciplined Product Ownership and Agile delivery. You'll own the backlog, translate complex data needs into actionable user stories, partner closely with engineering, and use SQL to validate data, troubleshoot issues, and inform decisions. Experience with Collibra and data quality frameworks is a strong plus.

*This is a remote position, but a preference for candidates in the DMV area*

Product Ownership & Strategy

• Own the product vision and roadmap for data products (datasets, pipelines, quality rules, and dashboards), ensuring alignment to business outcomes and compliance needs
• Convert stakeholders' requirements into epics, features, and user stories with clear acceptance criteria; maintain a transparent, prioritized backlog.
• Define measurable product metrics (adoption, data quality scores, SLA compliance, performance) and track value realization.

Agile Delivery (Scrum)

• Run Scrum ceremonies : Sprint Planning, Daily Stand-up, Backlog Refinement, Sprint Reviews, and Retrospectives.
• Partner with Scrum Master and Technical Leads to remove impediments, manage scope, and keep delivery predictable.
• Champion Definition of Ready and Definition of Done , ensuring data products meet quality, governance, and performance standards.

Data Analysis & SQL

• Write and review SQL to validate datasets across environments;
• Collaborate with analysts and data scientists to define KPIs, analytical features, and insight-driven use cases.

Data Governance & Collibra

• Partner with Governance to establish stewardship workflows, standards, naming conventions, certification processes , and data issue resolution.
• Use Data Catalog (Collibra or similar) to manage metadata, lineage, and data quality rules/scorecards ; drive onboarding of governed datasets and monitor quality thresholds

Data Engineering Partnership

• Work side-by-side with data engineers on ingestion, transformation, and orchestration patterns; ensure scalability, reliability, and cost efficiency.
• Provide clear requirements for schema design, partitioning, indexing, and performance optimization ; validate outcomes via SQL and acceptance tests

Stakeholder Engagement & Communication

• Lead discovery workshops; synthesize diverse viewpoints into consensus on priorities and release plans.
• Create crisp artifacts: data dictionaries, business rules, lineage diagrams, workflow maps, and release notes ; present progress and insights to business and leadership

Required Skills:

• Bachelor's degree in Business, Information Systems, Computer Science, or equivalent experience
• 3+ years as a Product Management delivering data-centric products (analytics, governance, engineering)
• SQL proficiency
• Proven ability to run Scrum end-to-end and translate complex requirements into actionable user stories with clear acceptance criteria
• Excellent communication skills; ability to present to clients and collaborate across engineering, governance, and business teams

Desired Skills:

• Experience with Collibra or another Data Catalog tool (metadata, lineage, stewardship, DQ rules and scorecards
• Exposure to modern data stacks (e.g., AWS/Azure , data lake/warehouse, orchestration tools), and working with data engineers, architects, and analysts
• Background supporting federal, healthcare, or enterprise-scale data programs

The likely salary range for this position is $85,093 - $88,550. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:
40

Travel Required:
10-25%

Telecommuting Options:
Hybrid

Work Location:
Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at
gdit.com/tc .

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

PI286953994

We're seeking a Product Management Analyst with deep, hands-on experience in data analytics, data governance, and data engineering , who can drive value from enterprise data platforms through disciplined Product Ownership and Agile delivery. You'll own the backlog, translate complex data needs into actionable user stories, partner closely with engineering, and use SQL to validate data, troubleshoot issues, and inform decisions. Experience with Collibra and data quality frameworks is a strong plus.



*This is a remote position, but a preference for candidates in the DMV area*



Product Ownership & Strategy

• Own the product vision and roadmap for data products (datasets, pipelines, quality rules, and dashboards), ensuring alignment to business outcomes and compliance needs
• Convert stakeholders' requirements into epics, features, and user stories with clear acceptance criteria; maintain a transparent, prioritized backlog.
• Define measurable product metrics (adoption, data quality scores, SLA compliance, performance) and track value realization.

Agile Delivery (Scrum)

• Run Scrum ceremonies : Sprint Planning, Daily Stand-up, Backlog Refinement, Sprint Reviews, and Retrospectives.
• Partner with Scrum Master and Technical Leads to remove impediments, manage scope, and keep delivery predictable.
• Champion Definition of Ready and Definition of Done , ensuring data products meet quality, governance, and performance standards.

Data Analysis & SQL

• Write and review SQL to validate datasets across environments;
• Collaborate with analysts and data scientists to define KPIs, analytical features, and insight-driven use cases.

Data Governance & Collibra

• Partner with Governance to establish stewardship workflows, standards, naming conventions, certification processes , and data issue resolution.
• Use Data Catalog (Collibra or similar) to manage metadata, lineage, and data quality rules/scorecards ; drive onboarding of governed datasets and monitor quality thresholds

Data Engineering Partnership

• Work side-by-side with data engineers on ingestion, transformation, and orchestration patterns; ensure scalability, reliability, and cost efficiency.
• Provide clear requirements for schema design, partitioning, indexing, and performance optimization ; validate outcomes via SQL and acceptance tests

Stakeholder Engagement & Communication

• Lead discovery workshops; synthesize diverse viewpoints into consensus on priorities and release plans.
• Create crisp artifacts: data dictionaries, business rules, lineage diagrams, workflow maps, and release notes ; present progress and insights to business and leadership

Required Skills:

• Bachelor's degree in Business, Information Systems, Computer Science, or equivalent experience
• 3+ years as a Product Management delivering data-centric products (analytics, governance, engineering)
• SQL proficiency
• Proven ability to run Scrum end-to-end and translate complex requirements into actionable user stories with clear acceptance criteria
• Excellent communication skills; ability to present to clients and collaborate across engineering, governance, and business teams

Desired Skills:

• Experience with Collibra or another Data Catalog tool (metadata, lineage, stewardship, DQ rules and scorecards
• Exposure to modern data stacks (e.g., AWS/Azure , data lake/warehouse, orchestration tools), and working with data engineers, architects, and analysts
• Background supporting federal, healthcare, or enterprise-scale data programs

The likely salary range for this position is $85,093 - $88,550. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.



Scheduled Weekly Hours:
40



Travel Required:
10-25%



Telecommuting Options:
Hybrid



Work Location:
Any Location / Remote



Additional Work Locations:



Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.



Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.



About Our Work:
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.


Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc .


Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

PI286953994