The Data Product Lead plays a critical leadership role within the Enterprise Data & Analytics function at Popular, with full oversight of the entire lifecycle of complex data products—from strategy and development to launch and revenue generation. This role focuses on creating data products tailored to the specific needs of the financial sector, ensuring strict compliance with industry regulations while supporting informed decision-making and financial reporting. The Lead collaborates closely with cross-functional teams, engages with clients, and drives data products as key contributors to revenue growth.
- Lead and oversee the full data product strategy, roadmap, and lifecycle, ensuring alignment with strategic, financial, security, risk, and compliance objectives.
- Drive Product Development: Manage the entire product development lifecycle from start to finish, ensuring timely and effective delivery.
- Collaborate with Technology Leaders: Partner with technology teams to influence the final architecture, ensuring secure, resilient, scalable, and high-performance solutions that address key customer and business challenges.
- Generate Contract and Marketing Materials: Develop collateral for contracts, marketing, sales, and financial reporting, while ensuring strict adherence to financial regulations.
- Conduct Revenue Reviews: Regularly review revenue and financial metrics, assessing the impact of data products on revenue, risk management, and compliance.
- Define Long-term Product Strategy: Establish a long-term product portfolio strategy based on customer and business needs, securing alignment and resources while addressing potential obstacles.
- Advocate for Data Products: Champion data products across all levels of the organization, ensuring they align with the financial sector's specific requirements and compliance standards.
- Identify Product Opportunities: Use market research, stakeholder collaboration, and direct customer engagement to identify new product opportunities.
- Estimate Revenue and Plan Launches: Evaluate revenue potential and create ambitious yet financially viable sales and launch strategies.
- Data-Driven Product Development: Collect and analyze data to inform product development and design, ensuring insights are actionable and aligned with product goals.
- Define KPIs: Set key performance indicators and integrate feedback mechanisms such as product features, surveys, and customer reviews to guide product evolution.
- Provide Actionable Insights: Analyze key metrics and performance data to uncover opportunities for revenue and profit growth through data mining, analytics, and automation.
- Lead Client Strategy Development: Oversee the design and development of client and franchise strategies in close collaboration with product and channel owners.