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 needsempowering 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 advantage. Engage with industry forums regulators and technology partners to shape the banks external data strategy.
• Talent & Team Leadership: Lead a cross-functional team across data product engineering and marketplace functions. Drive inclusive culture hiring and retention of top-tier data and analytics talent.

Managerial Responsibilities:

This position may also have responsibilities for managing associates. At Bank of America all managers at this level demonstrate the following responsibilities in addition to those specific to the role listed above.

• Opportunity & Inclusion Champion: Breaks down barriers to create a more inclusive environment that supports company Great Place to Work goals
• Manager of Process & Data: Challenges end-to-end process efficiency and effectiveness champion data driven decision-making and removes obstacles to optimize operations.
• Enterprise Advocate & Communicator: Contributes to enterprise strategy and influence messaging to connect team contributions to business purpose results and success.
• Risk Manager: Inspects and challenges risk controls governance and culture to ensure the timely identification escalation debate and remediation of risk across the organization.
• People Manager & Coach: Coaches to sustain and elevates organizational performance while differentiating to ensure pay for performance.
• Financial Steward: Efficiently allocates and manages resources across the organization to drive short and long term profitability.
• Enterprise Talent Leader: Inspects and manages the health of the bench to ensure succession for the organization while supporting enterprise talent needs.
• Driver of Business Outcomes: Mobilizes organizational resources to deliver the full range of the banks capabilities to meet client needs and to gain competitive advantage.

Required Qualifications:

• 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.

Desired Qualifications:

• Advanced degree in Data Science Engineering Business or related fields preferred.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Shift:

Hours Per Week:

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