Responsibilities:

📍Define and drive our data product strategy, aligning opportunities ot more effectively leverage our data with the company’s objectives 📍Translate business challenges into data-driven solutions: data products, ML models, dashboards, or infrastructure investments 📍Own and maintain the data product roadmap, prioritizing initiatives across multiple stakeholders while balancing short term vs long term business needs 📍Identify and manage trade-offs between data staffing capacity, cross-team dependencies, and business priorities 📍Act as program driver across diverse data roles: staff data engineers, data platform engineers, ML engineers, ML platform engineers, analytics engineers, and data scientists 📍Lead cross-functional project management for data initiatives, ensuring milestones are met, blockers are cleared, and scope is aligned 📍Partner with executive stakeholders to identify opportunities, gather requirements, and report on KPIs for data products 📍Evangelize data best practices and the value of data-driven decision-making across the org

Minimum Qualifications:

📍10+ years of experience in product management, program management, or equivalent roles, with at least 5+ years focused on data, ML, or analytics 📍Proven track record of shipping data products (e.g., ML-driven features, self-service analytics platforms, reporting suites, or governance tools) 📍Strong understanding of data and ML lifecycles — from ingestion, modeling, and governance to feature engineering, model training, and deployment 📍Hands-on experience partnering with data engineers, ML engineers, and data scientists 📍Ability to translate complex data and ML concepts into business value for non-technical stakeholders 📍Exceptional skills in roadmap development, prioritization, and cross-functional coordination 📍Strong written and verbal communication skills; comfort presenting to executive leadership 📍Experience in fintech, crypto, or regulated industries a plus

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