Technical Product Manager - Data & Analytics

About Yaqeen Institute

Yaqeen is a nonprofit on a mission to pioneer Islamic research in creative, cutting-edge formats tailored to meet people where they are. We work to dismantle doubts through well-researched truths, nurture conviction by strengthening belief with practical, spiritual guidance, and inspire contribution by reviving our tradition of faithful changemakers. We’re seeking like-minded professionals who embody Islamic values including sincerity, excellence, and compassion, and want to make a difference in the faith of people worldwide.

About The Role

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.

Yaqeen Institute embraces a philosophy that values and promotes diversity. Our goal is to attract, develop, retain, and advance a talented and diverse workforce within a culture where all employees are empowered to reach their fullest potential.

Please note that all career opportunities at Yaqeen Institute are subject to a three-month probationary period, during which we assess performance, alignment with our values, and mutual fit to ensure long-term success in the role.