FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Agile product management, translating complex requirements into user stories and acceptance criteria, and collaborating with cross-functional teams to support cloud-based data and analytics initiatives. Proficient in managing technical dependencies and ensuring backlog readiness for effective delivery.
Highest-signal resume keywords
Agile Product ManagementBacklog RefinementCloud Data Platform ArchitectureStakeholder FacilitationData Governance Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
User StoriesAcceptance CriteriaRequirements AnalysisData Engineering WorkflowsPredictive AnalyticsMLOpsData Warehouse ModernizationCloud MigrationFunctional ReadinessTechnical Readiness
Soft Skills
Analytical SkillsProblem-SolvingDecision-MakingCommunication SkillsOrganizational Skills
Tools & Technologies
JiraConfluenceAzure DevOpsMiroDatabricksAzure Data FactoryPower BIDelta LakeUnity CatalogCollibra EDC
Industry Keywords
CloudData AnalyticsAI/MLEnterprise Platform ModernizationData GovernanceAgileScrumSAFeStakeholder AlignmentContinuous Improvement
Tech Stack
Tools & technologiesAzureCloudUnity
About the role
Key responsibilities & impact- Own contractor-side backlog readiness for an assigned delivery domain
- Translate approved needs into features, user stories, requirements, and testable acceptance criteria before refinement
- Lead discovery, stakeholder clarification, backlog grooming, dependency identification, decision tracking, and sprint-ready story preparation
- Support the Senior Product Manager and VA Product Owner without replacing Government authority for priority, sequencing, approval, or acceptance
- Apply Agile product management, requirements analysis, user stories, acceptance criteria, backlog refinement, stakeholder facilitation, domain discovery, and dependency management
- Collaborate with product, engineering, security, governance, quality, and customer-facing stakeholders
- Document work products, decisions, risks, and delivery evidence to support traceability and continuous improvement
- Support modernization of a federal agency's cloud-based enterprise data and analytics ecosystem
Requirements
What you’ll need- U.S. Citizenship is required due to federal contract requirements
- Candidate must reside in the U.S., be authorized to work in the U.S., and perform all work in the U.S.
- Candidate must have lived in the U.S. for three full years out of the last five years
- Bachelor's degree in Product Management, Business Administration, Information Systems, Computer Science, Data Analytics, Data Science, Engineering, or related field; or a high school diploma with four additional years of relevant experience in lieu of a bachelor's degree
- Minimum 6 years of relevant experience aligned to the responsibilities of the role
- Master's degree may substitute for two years of relevant experience
- Experience serving as a Product Owner, Technical Product Owner, Business Analyst, Solutions Analyst, or similar role supporting cloud, data, analytics, AI/ML, or enterprise platform modernization initiatives
- Experience translating complex requirements into epics, features, user stories, acceptance criteria, and sprint-ready backlog items
- Experience facilitating discovery sessions, requirements workshops, backlog refinement, stakeholder alignment, dependency management, and release planning
- Strong understanding of modern cloud data platform architectures, Lakehouse concepts, data engineering workflows, data governance practices, and enterprise analytics ecosystems
- Experience with Databricks, Delta Lake, Unity Catalog, Azure Data Factory, Azure Machine Learning, Power BI, or comparable platforms
- Familiarity with AI/ML concepts including predictive analytics, machine learning lifecycle management, MLOps, NLP, RAG, generative AI, and responsible AI principles
- Experience supporting data warehouse modernization, cloud migration, analytics enablement, self-service analytics, or data product delivery
- Experience collaborating with Data Engineers, AI Engineers, Data Scientists, Architects, Security teams, Governance teams, and Product Managers
- Experience managing technical dependencies, architectural decisions, platform capabilities, non-functional requirements, and cross-team delivery coordination
- Experience defining and validating functional, technical, operational readiness, and testable acceptance criteria
- Familiarity with enterprise data governance concepts including metadata management, data quality, data stewardship, lineage, Collibra EDC, Immuta, Unity Catalog, or comparable capabilities
- Experience utilizing Agile delivery tools such as Jira, Confluence, Azure DevOps, Miro, or similar platforms
- Experience developing roadmaps, release plans, backlog priorities, and delivery metrics in Agile, Scrum, or SAFe environments
- Experience working in Agile, Scrum, SAFe, or cross-functional technology delivery teams
- Highly effective analytical, problem-solving, and decision-making capabilities
- Excellent written and verbal communication skills
- Strong organization, attention to detail, and ability to prioritize and manage multiple responsibilities
- Collaborative approach with commitment to quality, accountability, and continuous improvement
Benefits
Comp & perks- Remote work arrangement
- Occasional onsite meetings on the client site in Washington, DC
- Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs
- Equal opportunity employment