Product Owner
Eliassen Group
Job Description
Our client seeks an experienced Product Owner to support a highly technical Data Science team operating within a SAFe environment. The Product Owner shall serve as the liaison between Data Scientists, Engineers, and business stakeholders, translating technical initiatives into clear objectives, priorities, and updates. Focus areas include coordinating a team of approximately twenty-two. The ideal candidate brings prior experience with Data Science, Analytics, AI, or Machine Learning teams and understands the distinct delivery patterns of data science initiatives.
\n \n*Please note this is a 12 week contract, stepping in for a PO currently on Maternity Leave*
\n \nDue to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
\n \nRate: $65.00 to $75.00/hr. w2
\n \nResponsibilities
\n- \n
- Coordinate day-to-day work across approximately twenty-two Data Science team members. \n
- Own and refine product backlog, user stories, and acceptance criteria aligned to SAFe practices. \n
- Translate complex data science and engineering initiatives into business outcomes and prioritized roadmaps. \n
- Partner with Data Scientists, Engineers, and stakeholders to define scope, dependencies, and measurable success criteria. \n
- Facilitate PI planning inputs, sprint planning, reviews, and demos with clear status and risk visibility. \n
- Drive integration efforts \n
- Lead enhancements to Architect Proposal with iterative delivery and stakeholder feedback loops. \n
- Manage stakeholder communications with timely updates, tradeoffs, and decision logs. \n
- Ensure alignment with compliance, data governance, and model lifecycle considerations. \n
Experience Requirements
\n- \n
- Proven Product Owner experience in SAFe or Scaled Agile environments. \n
- Direct experience supporting Data Science, Analytics, AI, or Machine Learning teams. \n
- Ability to manage complex technical backlogs and translate them into clear business value. \n
- Strong facilitation of PI events, sprint ceremonies, and cross-functional coordination. \n
- Background coordinating multi-disciplinary teams with competing priorities. \n
- Experience delivering integrations and platform rollouts. \n
- Excellent communication with stakeholders across business and technology. \n
Education Requirements:
\n- \n
- Mathematics or Statistics Degree is preferred, but not mandatory \n
- Product Owner certification preferred \n
- SAFe experience preferred. \n
- Certifications are not mandatory if the candidate demonstrates strong practical experience and understanding of the role. \n
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