Technical Product Manager - Data & Analytics

We are looking for a highly strategic and technically proficient Data Product Manager to work closely with our core technical teams to drive innovation. This full-time role is pivotal in transforming data from a support function into a core organizational asset, driving data-informed decisions, compliance, and product innovation through advanced analytics and AI capabilities.

What you'll do

• Strategic Data Ownership & Roadmap
  • Define and drive the long-term strategy and product roadmaps for core data products and big data derivatives designed for both internal teams (analytics, operations) and external consumer-facing features.
  • Own the end-to-end definition and stewardship of mission-critical business metrics (KPIs), data definitions, and underlying data workflows, ensuring accuracy, lineage, and data quality across the organization.
  • Establish clear data technical ownership protocols and rigorous validation processes for all ingested data streams, ensuring reliability, integrity, and fitness-for-purpose before data is leveraged in products or analytics.
  • Manage the roadmap for data orchestration layers to ensure reliable, scalable, and timely data movement and transformation in high-volume environments.
  • Serve as the key champion for end-users, translating complex data requirements into clear, prioritized engineering stories and acceptance criteria.
• Data Governance, Compliance & Reporting
  • Lead the stewardship of reporting automation efforts across the department, ensuring seamless and accurate delivery of insights—from bite-sized, tactical analytics to robust, organizational-level performance dashboards and official compliance reports.
  • Partner with Legal, Engineering and relevant stakeholders to orchestrate and enforce data governance policies and compliance frameworks.
  • Ensure that all data workflows and products are designed with strict adherence to global data privacy regulations, including GDPR and CCPA.
• Advanced Analytics & AI/ML
  • Identify, scope, and prioritize opportunities to leverage AI and Machine Learning (ML) models for advanced analytics, content personalization, and operational efficiency, integrating model outputs directly into product experiences.
  • Work closely with Engineering and Technical teams to define success criteria, validate model performance, and ensure measurable business value from AI initiatives.
• Data Championship and Ambassadorship
  • Champion and socialize data-driven insights and analytics across the entire organization, ensuring data is used effectively to guide business and product decisions.
  • Organize cross-team/squad sessions for data deep dives, knowledge sharing, and capacity building to increase organizational data literacy.
  • Actively develop and foster a robust data culture across the organization, promoting data quality, accessibility, and accountability.
• Collaboration & Execution
  • Manage and lead the full product lifecycle from discovery through development and launch.
  • Work closely with UX, Technical, Business and Operations teams, serving as the allocated product/feature champion within an agile development workflow.
  • Deliver comprehensive product documentation, including feature specifications, data contracts, and governance documentation.

Qualifications

• Required Expertise
  • At least 5+ years of total professional experience, with a minimum of 3 years dedicated to Product Management of data, analytics, or platform products.
  • Intermediate proficiency in SQL with a track record of querying and analyzing large, disparate datasets.
  • Demonstrated experience in using AI, Machine Learning, or complex statistical modeling to drive product or analytical insights.
  • Strong foundational knowledge of data governance, data quality principles, and compliance orchestration (specifically GDPR) in a global context.
  • Experience with big data technologies, including modern data warehouses (e.g., Redshift), object storage, and document data stores, as well as distributed processing concepts.
  • Proven ability to design, implement, and analyze product experimentation (A/B and multivariate testing) to validate hypotheses and measure impact.
  • Experience defining and leveraging data instrumentation frameworks, such as Amplitude and Google Analytics 4 (GA4), for product usage and funnel analysis.
• General Skills
  • Familiarity with content and media ecosystems is highly preferred.
  • Deep understanding of user habits, data consumption psychology, and UX principles for analytical tools and dashboards.
  • Proven experience with JIRA or similar product lifecycle management tools, demonstrating ability to deliver complex, cross-functional projects.
  • Excellent critical thinking, communication, and stakeholder management skills, particularly in communicating complex data strategies to executives and non-technical audiences.