01Responsibilities
\n\nData Distribution \u0026 Platform Enablement \n\n- Partner with Product Managers and Platform Capability Owners to support data distribution strategy, including feeds and shared data services. \n\n- Help define and refine data products that serve multiple downstream consumers (internal teams, platforms, partners). \n\n- Analyze data usage patterns, dependencies, and downstream impacts to inform platform and roadmap decisions. \n\n- Support decisions around standardization vs. specialization in data distribution models. \n\nProduct Discovery \u0026 Capability Support \n\n- Support product discovery by helping translate business and platform needs into transparent datacentric problem statements. \n\n- Contribute to roadmap planning by evaluating value, risk, and complexity across data distribution initiatives. \n\n- Help define outcomes and success measures for data platform capabilities (e.g., usability, reliability, adoption, quality). \n\nAdvanced Data Analysis \u0026 Problem Solving \n\n- Perform handson exploratory and diagnostic analysis across distributed data sources and platforms. \n\n- Investigate data quality issues, lineage gaps, and semantic inconsistencies that affect downstream consumers. \n\n- Conduct impact analysis for schema changes, new feeds, platform migrations, or system decommissions. \n\n- Identify systemic issues in data flow, transformation, or consumption and recommend durable solutions. \n\nData Product Ownership (Supporting / PlatformLevel) \n\n- Support Data Product Owners by helping define: \n\n- Data contracts, schemas, and semantic definitions \n\n- Data quality rules, validation logic, and controls \n\n- Usage expectations and downstream dependencies \n\n- Maintain traceability between business intent, data products, and technical implementation. \n\n- Partner with engineering, architecture, and data platform teams to support scalable, reusable distribution patterns. \n\nAgile Execution \u0026 Delivery \n\n- Contribute to Jira artifacts (features, stories, acceptance criteria) with strong data and platform context. \n\n- Participate in backlog refinement, sprint planning, and demos to ensure work reflects validated platform and consumer needs. \n\n- Support prioritization decisions by providing evidencebased impact and dependency analysis. \n\nStakeholder Communication \u0026 Influence \n\n- Act as an analytical partner to Product Managers, Platform Owners, Engineering, and downstream consumer teams. \n\n- Communicate complex data flow and platform concepts in clear, decisionready narratives. \n\n- Help align stakeholders across domains by grounding conversations in data realities and tradeoffs. \n\nWhat are we looking for \n\nWere looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work. \n\n
02Requirements
\n\n- 5+ years of experience in Product Analytics, Data Analysis, Data Product Ownership, or Platformoriented Product roles. \n\n- Strong handson experience with SQL (advanced querying, joins, performance awareness) \n\n- Experience working with data platforms, distributed data systems, or integration layers. \n\n- Experience adopting emerging AIenabled capabilities
