Director, Product Management; Data Products

Position: Director, Product Management (Data Products)
About Blackhawk Network

Today, through BHN’s single global platform, businesses of all kinds can tap into the world’s largest network of branded payment solutions. BHN helps businesses grow revenue, increase loyalty, motivate and reward their teams, disburse funds and engage consumers. Branded payment solutions include the issuance and distribution of gift cards, egifts, corporate payouts and rewards, along with the technology to deliver these products in seamless, integrated ways.

BHN’s network spans the globe with more than 400,000 consumer touchpoints. Learn .

Overview

At the heart of driving value from our network is the ability to transform data into actionable insights, accessible tools, and measurable outcomes. The Director of Data Products will build industry-leading data capabilities that unlock value for BHN, our clients, and end consumers through intelligent data products, self‑service analytics platforms, and insights that drive strategic decision‑making.

This role reports to the VP of Product for Global Core Services and sits alongside our developer experience & payment platforms. It is responsible for several important outcomes (and associated example metrics):

Key Outcomes

• Build self‑service analytics and insights platforms that enable internal teams, clients, and partners to access actionable data in real‑time (platform adoption rates, time‑to‑insight, user satisfaction)

• Develop data products that drive enterprise value through predictive analytics, personalization engines, and intelligence layers (revenue impact from data‑driven features, model accuracy, feature adoption)

• Create client‑facing data tools and reporting capabilities that demonstrate ROI and enable program optimization (client retention tied to data tools, data product revenue, engagement metrics)

• Establish modern data infrastructure, governance frameworks, and AI/ML capabilities ensuring data quality, compliance, and scalability (data quality scores, model deployment velocity, compliance audit success)

• Drive data monetization strategies and embedded analytics offerings that create new revenue streams (data product revenue, API adoption, partner integrations)

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

• Drive AI/ML product capabilities including recommendation engines, propensity models, and automated insights generation

• Establish comprehensive data governance frameworks ensuring compliance with privacy regulations (GDPR, CCPA) and ethical AI principles

• Create data democratization strategies enabling self‑service access while maintaining security, quality, and appropriate guardrails

• 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

• Establish 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, Big Query, etc.)

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