Technical Product Manager

Technical Product Manager - Data & AnalyticsAbout Yaqeen InstituteYaqeen 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 roleWe 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 doStrategic Data Ownership & RoadmapDefine 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 & ReportingLead 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/MLIdentify, 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 AmbassadorshipChampion 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.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.QualificationsRequired ExpertiseAt 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 SkillsFamiliarity 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.Audience Data Analysis Management (ADAM) #J-18808-Ljbffr