Senior Director, Product Management; Data

At Nerd Wallet, we’re on a mission to bring clarity to all of life’s financial decisions and every great mission needs a team of exceptional Nerds. We’ve built an inclusive, flexible, and candid culture where you’re empowered to grow, take smart risks, and be unapologetically yourself (cape optional). Whether remote or in-office, we support how you thrive best. We invest in your well-being, development, and ability to make an impact because when one Nerd levels up, we all do.

The Director, Product Management (Data) leads the vision, strategy, and execution for the company’s data products and platform capabilities. This role drives how data is collected, transformed, governed, activated, and leveraged across the organization to power exceptional fintech experiences. They oversee multiple product teams and partner closely with engineering, analytics, design, and business stakeholders to build a scalable, trusted, and innovative data ecosystem.

This leader ensures that the company’s data foundation enables personalization, operational excellence, regulatory compliance, and long-term competitive advantage—ultimately supporting financial empowerment for consumers and measurable impact for the business.

The Director, Product Management (Data) defines the strategic direction for all data products—including data infrastructure, governance, machine learning enablement, and data-driven consumer experiences. They build and lead high-performing product teams, ensuring that roadmaps are aligned to company priorities and executed with excellence. This role is responsible for championing data quality, accessibility, and responsible use across the organization while fostering a culture of experimentation and continuous improvement.

This role reports to the VP, Data & Analytics.

• Set the long-term vision and strategy for the company’s data platform and data products, ensuring alignment with organizational goals and customer needs.
• Lead, mentor, and develop multiple product teams within the data domain, fostering collaboration, clarity, and ownership.
• Build and scale data capabilities—including data pipelines, governance frameworks, metadata systems, and ML/AI platforms—that power fintech products and internal operations.
• Collaborate with engineering, analytics, design, marketing, compliance, and executive leadership to drive data-led initiatives across the company.
• Translate regulatory, privacy, and security requirements into scalable data solutions that meet fintech industry standards.
• Champion responsible data practices, ensuring accuracy, quality, and ethical usage across the organization.
• Partner with cross-functional teams to define data metrics, KPIs, and success outcomes for both platform and user-facing features.
• Communicate product direction, roadmap progress, and key decisions to leadership, stakeholders, and company-wide forums.
• Drive innovation and experimentation by encouraging rapid iteration, A/B testing, and model-driven product design.
• Evaluate emerging technologies, vendors, and industry trends to guide long-term data strategy and investments.

• 12+ years in product management, with at least 5 years leading product teams and 3+ years managing data-focused or platform product areas.
• Proven success owning large-scale data platforms, data infrastructure, or ML/AI product roadmaps in fintech or technology organizations.
• Deep understanding of data architecture, governance, pipelines, analytics workflows, and cloud-based data ecosystems.
• Strong track record building and scaling teams, defining org structures, and mentoring senior PMs.
• Exceptional communication, leadership, and stakeholder management skills, including experience influencing at the executive level.
• Demonstrated ability to set vision while driving clarity and execution across complex, cross-functional programs.
• Expertise in data-driven decision-making, experimentation, and product analytics.
• Solid understanding of regulatory requirements relevant to fintech data (e.g., privacy laws, security standards, data residency).

Preferred Qualifications:

• Advanced degree in computer science, data science, business, or…