Navitas Business Consulting, Inc. logo
Navitas Business Consulting, Inc.

Achieving mission success through digital disruption.

Product Owner – Enterprise Data & AI

Product ManagerProduct ManagerFull TimeRemoteSeniorTeam 51-200Since 2006H1B No SponsorCompany SiteLinkedIn

Location

Virginia

Posted

7 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishAWSAzureCloudETLGoogle Cloud PlatformTableau

Job Description

Product Owner – Enterprise Data & AI

Navitas Business Consulting, Inc.

• Define and maintain the product backlog for the Data & AI platform, ensuring alignment with the university’s long-term strategic plan and near-term priorities. • Collaborate with faculty, researchers, administrators, and IT leaders to gather requirements and identify high-value data and AI use cases. • Create, refine, and prioritize the product backlog based on business value, compliance requirements, and technical feasibility. • Collaborate with data engineers, AI/ML specialists, developers, and architects to deliver platform features and enhancements. • Partner with institutional data governance groups to enforce data security, compliance, and stewardship and quality standards and processes. • Communicate platform benefits, features, and updates to stakeholders. • Monitor product performance, collect feedback, and adjust priorities based on evolving institutional needs.

Job Requirements

  • Bachelor’s degree in Information Science, Information Systems, Computer Science, Data Science, Business Administration, or related field (Master’s preferred).
  • 5+ years of experience in product ownership, business analysis, or project management, ideally in data, analytics, or AI-focused environments.
  • Experience in higher education, research, or public sector environments strongly preferred.
  • Proven track record of helping deliver enterprise grade data & AI platforms and products within SAFe Agile environments.
  • Strong understanding of data & AI platforms, data lakes/warehouses, ETL pipelines, APIs, and cloud environments (e.g., Databricks, AWS, Azure, GCP, Salesforce Data Cloud).
  • Working knowledge of Data Governance (e.g. Purview) and Master Data Management (e.g. Profisee) tools.
  • Familiarity with AI/ML concepts, predictive analytics, and responsible AI frameworks.
  • Working knowledge of BI/analytics tools (e.g., Tableau, Power BI, Salesforce CRM Analytics, Looker).
  • Experience with data governance, privacy, and compliance (FERPA, HIPAA, GDPR, etc.).

Benefits

  • E-Verify and Equal Opportunity Employer

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