Head of Data Enablement

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

Manages/oversees the analytical, team, & client responsibilities across a broad group of Analytical resources consisting of Senior Analysts, Team Managers, Team Leads, and Analysts; serving multiple senior channel, operations, marketing, or product executives. Determines and sets group priorities to align with the overall business objectives; ensures appropriate focus and alignment of staff and resources. Supervises, directs, and communicates complex analyses using a variety of tools, techniques and resources to deliver insights that drive business direction and decision making. Partners with P&L owners and senior executives to identify, analyze, and propose solutions to a variety of business problems using data driven insights. Integrates the analysis and strategic priorities with other analytic areas and business partners to ensure alignment across the organization. Develops employees within the analytical discipline to be able to communicate and improve their business insight capabilities. Experience in supervising technical or complex projects and managing to an outcome (direct management). Experience with development of people resources. Ability to manage and resolve competing priorities. Proven track record in financial services, consumer products, or marketing business / analytics.

This role melds strategic vision with deep technical leadership to design, build, and scale a portfolio of data products and an internal/external marketplace. The executive will bridge data science, engineering, and business needs—empowering users with governed, commercial-grade data capabilities while monetizing and enabling data-driven enterprise growth.

This role will drive the design, development, and commercialization of data products and data marketplace to enable growth, operational efficiency, and client value across business lines.

Responsibilities:

• Data Product Strategy: Lead the articulation and delivery of a multi-year data product and marketplace strategy aligned with enterprise objectives. Build scalable, reusable data and enablement services products that drive insights, automation, and monetization opportunities.
• Product & Marketplace Development:  Develop, manage, and scale a suite of reusable data products (APIs, analytics services, datasets) marketplace to maximize data value capture and data sharing efficiencies.  Architect an internal/external data marketplace to securely share, govern, and commercialize/ democratize the data.  Drive governance frameworks ensuring compliant, secure, and efficient data exchange.
• Enterprise Data Enablement: Champion data-driven decision making by integrating data products into core business processes and digital platforms. Partner with lines of business to identify high impact use cases and deliver innovative solutions.
• Engineering & Architecture Oversight:  Oversee data engineering and architecture teams in building modern, cloud-based data platforms.  Ensure platforms are scalable, resilient, and optimized for analytics, AI, and advanced reporting.
• Leadership & Influence:  Serve as strategic advisor to business and functional leaders, co-creating solutions for key use cases and collaborate with EDSGO and LOB data and analytics leaders.  Translate complex business needs into pragmatic, user-centric data applications.  Build and lead high-performing multidisciplinary teams across data engineering, product, and strategy.
• Financial and Commercial Impact: Drive value realization of data products via revenue growth, cost savings, and risk reduction. Develop business cases, operating models, and performance frameworks for data monetization initiatives.
• Innovation & External Engagement: Stay at the forefront of data product, AI, and marketplace innovations to drive competitive advan