Product Owner (Data Engineering/Analytics) leads data initiatives across MDM domains, building multi-year roadmaps that align with enterprise data strategy. Owns end-to-end delivery from problem framing to execution, working with business stakeholders and technical teams. Qual call with Charles https://salesq.app/app/team/67f57629dacf7c05a21f89ac/meetings/696038ca6232f57438bdbd04/history Follow up with Senthil https://salesq.app/app/team/67f57629dacf7c05a21f89ac/meetings/695fb2dc6232f574389c168b/history Call with Lalitha https://app.corecruit.com/app/team/67f57629dacf7c05a21f89ac/meetings/6ad68e5f97359031a8c0eece/history
Key Responsibilities:
Own end-to-end delivery of data initiatives, from problem framing to execution
Lead workshops and working sessions with business stakeholders to define evolving requirements
Translate business needs into structured backlogs, user stories, and multi-year product roadmaps
Act as the primary interface between business partners and technical teams, ensuring alignment
Lead initiatives across key MDM domains, including customer, product/item, location, invoice, and sales data
Oversee ELT-based data initiatives within hybrid cloud environments, ensuring scalable data flows
Use SQL to explore datasets, validate logic, and support requirement accuracy
Establish and standardize product management practices, including backlog governance and roadmap frameworks
Track and report on delivery KPIs such as cycle time, throughput, and team performance
Define and manage OKRs to align team output with business outcomes
Operate independently on smaller initiatives without reliance on centralized PMO structures
Provide strategic direction and guidance to delivery teams to resolve ambiguity and complex execution challenges
Qualifications:
7+ combined experience as Product Manager/Owner supporting data engineering or analytics teams
Additional experience in project management, business analysis, or data-focused roles within large-scale environments
Strong domain experience in Master Data Management (MDM) for customer, product/item, location, and transactional datasets
Proven ability to operate in ambiguous environments, framing problems and driving clarity
Experience building and managing multi-year product roadmaps
Strong business analysis skills, including requirements elicitation, stakeholder management, and workshop facilitation
Experience with BI and reporting tools
Background in retail or similarly data-intensive industries
Advanced facilitation and problem framing skills for cross-functional workshops
Deep understanding of retail business drivers and ability to connect data solutions to revenue and cost outcomes
Experience defining acceptance criteria, definition of done, and success metrics for data products
Strong product ownership mindset with Agile/Scrum/Lean delivery experience and tools such as Jira and Confluence
Preferred Skills:
Experience with modern data platforms such as Snowflake or Informatica
Familiarity with Excel for data analysis and business reporting
Exposure to data science concepts and advanced analytics use cases
Experience helping organizations mature product management practices
Experience working across both highly technical teams and business stakeholders