Director, Product Analytics (Benefits)

We are seeking an experienced and strategic Director of Product Management for Data, Analytics, and Reporting to lead our data-driven product initiatives. This leader will be responsible for setting the vision, strategy, and execution of our data platforms, analytics capabilities, and reporting solutions that empower internal teams (Marketing, Sales, and Customer Success), customers, and partners to make informed, data-driven decisions.

As a Product Leader, you will play a critical role in shaping and leading the Health and Benefits Data, Analytics, and Reporting strategy. You will manage a team of product managers and analysts responsible for delivering actionable insights and to support data needs such as for customer data platform (CDP) and other data consuming systems. This role requires a strong analytical mindset, excellent communication skills, and the ability to collaborate effectively with stakeholders across different departments.

• Define and own the multi-year product strategy for data platforms, reporting capabilities, and embedded analytics.

• Identify market trends, customer needs, and emerging technologies to evolve the data and analytics product portfolio.

• Develop and communicate a clear vision and roadmap that aligns with broader business and product objectives.

• Lead and mentor a team of product managers, driving high-impact execution while fostering growth and professional development.

• Collaborate with engineering, data science, business intelligence, UX, marketing, and customer success teams to deliver innovative data products.

• Champion data governance, data literacy, and democratization of data access across the organization.

• Engage directly with customers, partners, and internal stakeholders to deeply understand reporting needs, data pain points, and user personas.

• Translate complex data requirements into simple, intuitive, and impactful reporting and visualization experiences. Prioritize features that drive measurable business and user outcomes.

• Leverage qualitative and quantitative insights to identify opportunities for improvement and iterate rapidly to enhance customer experiences.

• Drive business model innovation, pricing strategies, first-use success, cross-sell initiatives, and customer support optimization in collaboration with cross-functional partners.

• Oversee the integration and utilization of marketing and sales data to deliver personalized, data-driven customer experiences.

• Own the product lifecycle for APIs, data pipelines, self-service reporting tools, and dashboards.

• Oversee integration strategies with external platforms, BI tools, and partner ecosystems.

• Drive product decisions around data architecture, scalability, privacy, and security in collaboration with technical teams.

• Define and monitor key metrics for product adoption, engagement, data accuracy, and business impact.

• Partner with finance, sales, and strategy teams to quantify the business value of data and analytics initiatives.

• Support commercialization strategies, including data monetization and reporting-as-a-service opportunities.

Team Leadership and Development

• Lead and develop a high-performing team of product managers, data analysts, and analytics leaders by providing actionable feedback, coaching, and development opportunities.

• Foster a culture of transparency, trust, experimentation, and continuous learning, encouraging teams to challenge the status quo and redefine what's possible.

Cross-Functional Collaboration

• Partner with senior and executive business stakeholders across Product, Technology, Marketing, Sales, Customer Success, and Risk to define and prioritize opportunities.

• Collaborate closely with technology teams, including Data Scientists, Data Engineers, Tech Leads, and Architects, to build scalable and impactful solutions.

Operational Excellence

• Lead the prioritization of product initiatives, making tough tradeoffs to ensure resources focus on solving the biggest customer problems and achieving durable business benefits such as revenue growth, adoption, and retention.

• Establish and uphold data governance principles to ensure consistency, security, and compliance across the enterprise.

Data-Driven Insights and Innovation

• Conduct in-depth analysis of customer behavior, campaign performance, sales trends, and other key metrics to identify actionable insights and opportunities for growth.

• Utilize advanced tools like Salesforce Data Cloud, Tableau, Power BI, and ThoughtSpot to deliver impactful data visualization and reporting.

• Stay ahead of industry trends in analytics, data visualization, and customer data platform (CDP) technologies to maintain a competitive edge.

Executive Communication

• Present findings, insights, and recommendations to senior leadership and stakeholders in a clear, concise, and impactful manner.

Qualifications:

• 10+ years of Product Manager experience in environments that embrace customer driven innovation, rapid experimentation, data-driven decisions and results-orientation.

• Experienced in proven methodologies to develop great products, including customer driven innovation, rapid experimentation, prototyping, product analytics and using OKRs to measure outcomes.

• Proven track record of setting product strategy for a large portfolio and translating it into a product roadmap with excellent end to end execution.

• Demonstrated success in creating a vision to inspire, prioritizing key deliverables, defining and building roadmaps, and managing internal and external commitments.

• Strong technical acumen, with an ability to understand how data, technology and common capabilities can enable your strategy and vision.

• Strong financial acumen, analytical and problem solving skills.

• Ability to partner well cross-functionally, especially with engineering and marketing and risk.

• Strong communication skills, both written and verbal, as well as the ability to influence key stakeholders.

• Experience building global ready or international offerings is a plus.

• Undergraduate degree required, advanced degree is a plus.

Bonus Points:

• Master's degree in a related field

• Experience in the financial technology or payment processing industry

• Familiarity with data science techniques and machine learning

Benefits:

• Competitive salary and benefits package

• Opportunity to work with cutting-edge technologies

• Collaborative and supportive work environment

• Chance to make a real impact on a growing company