Head of Data Enablement at Bank of America, managing strategic marketing activities and leading data product development and commercialization efforts. Responsible for large-scale data initiatives with cross-functional leadership.
Responsibilities
Responsible for managing the strategic marketing activities for a business segment, product or complex project
Lead the articulation and delivery of a multi-year data product and marketplace strategy aligned with enterprise objectives
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
Champion data-driven decision making by integrating data products into core business processes and digital platforms
Oversee data engineering and architecture teams in building modern, cloud-based data platforms
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
Drive value realization of data products via revenue growth, cost savings, and risk reduction
Stay at the forefront of data product, AI, and marketplace innovations to drive competitive advantage
Lead a cross-functional team across data product, engineering, and marketplace functions.
Requirements
15+ years in data, analytics, or technology leadership roles within financial services or large enterprises
Proven track record developing, integrating, and commercializing data products and platforms at scale
Deep understanding of data engineering, governance, architecture, and cloud technologies
Strong strategic thinking and business acumen with ability to translate vision into execution
Exceptional executive communication and influencing skills with a demonstrated ability to drive cross-enterprise initiatives
Experience managing large teams with diverse skillsets across product, engineering, and strategy
Advanced degree in Data Science, Engineering, Business, or related fields preferred.
Benefits
Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors
Offers to be determined based on experience, education and skill set
Currently benefits eligible
Access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
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