Director, Product Management (Data Products)
Blackhawk Network · Pleasanton, CA · Yesterday
Marketing$184k–$249k/yrFull-time
About the role
The Director of Data Products will lead the development of industry-leading data capabilities that unlock value for Blackhawk Network, its clients, and end consumers through intelligent data products, self-service analytics platforms, and insights that drive strategic decision-making.
Responsibilities
- Lead product strategy for internal and external data products including self-service analytics platforms, embedded reporting, predictive models, and AI-powered insights
- Design and deliver client-facing data tools providing actionable insights into consumer behavior, program performance, and competitive benchmarking
- Build internal data products and intelligence layers that power personalization, fraud detection, demand forecasting, and optimization across BHN's portfolio
- Develop modern data infrastructure strategy including real-time data pipelines, data mesh architecture, and scalable analytics environments
- Establish modern data infrastructure strategy including real-time data pipelines, data mesh architecture, and scalable analytics environments
- Drive AI/ML product capabilities including recommendation engines, propensity models, and automated insights generation
- Create comprehensive data governance frameworks ensuring compliance with privacy regulations (GDPR, CCPA) and ethical AI principles
- Define and implement data monetization strategies including embedded analytics, data-as-a-service offerings, and insights partnerships
- Partner with engineering to build scalable data platforms, APIs, and tools serving diverse internal and external stakeholders
- Champion a data-driven culture through education, enablement, and demonstrating value through data storytelling
- Define business cases for data product investments and collaborate with executive management to develop vision and prioritize growth strategies
- Define and implement data product metrics, KPIs, and measurement frameworks demonstrating business value
Qualifications
- Demonstrated track record of data product management with deep expertise in analytics platforms, business intelligence, and data-driven product development
- Strong knowledge of modern data architecture including data warehouses, data lakes, streaming platforms, and cloud-native solutions (Snowflake, Databricks, BigQuery, etc.)
- Experience building self-service analytics tools, embedded reporting solutions, and data visualization platforms (Tableau, Looker, Power BI, or similar)
- Expertise in AI/ML product development including recommendation systems, predictive analytics, and MLOps practices
- Deep understanding of data governance, privacy regulations (GDPR, CCPA), PII handling, and ethical AI considerations
- Knowledge of data monetization strategies, data-as-a-service models, and embedded analytics partnerships
- Understanding of payments and fintech data including transaction analytics, consumer behavior patterns, and fraud detection
- Proven ability to translate complex data concepts into accessible products for non-technical users
- 10-12+ years of total work experience across data products, analytics platforms, business intelligence, or data science
- Background in financial services is a strong plus
- Entrepreneurial, independent mindset with ability to operate in ambiguous environments
- Strong written and verbal communication skills, including ability to present data insights and strategy to executive audiences
- International experience and awareness of regional data regulations preferred
- Engaging leadership to drive data-driven decision making and product-led mindset into organizational culture with enthusiasm
- Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, or related quantitative field required; Master's degree or MBA is a plus