Data Enablement Technology & Solutions Lead

Bank of America

. Own end-to-end data requirements across acquisition, ingestion, storage, maintenance, curation, access, consumption, and ongoing lifecycle management .

Posted 11/4/2026full-timeUnited StatesSenior💰 $200,000 - $264,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data lifecycle management, including acquisition, storage, curation, and consumption, while effectively translating business needs into technology requirements. Proven ability to drive efficiency and influence outcomes across diverse teams within a complex enterprise environment.

Highest-signal resume keywords

Data EngineeringData ManagementData ArchitectureTechnical Product ManagementData Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Lifecycle ManagementData AcquisitionData StorageData CurationData Consumption

Soft Skills

Creative Problem-SolvingStrong JudgmentInfluencing Outcomes

Industry Keywords

Technology RequirementsData EnablementGovernanceRisk ManagementBusiness Needs

About the role

Key responsibilities & impact

Own end-to-end data requirements across acquisition, ingestion, storage, maintenance, curation, access, consumption, and ongoing lifecycle management
Partner with Technology to translate business and data needs into technology requirements, capabilities, and prioritized roadmaps
Identify barriers and develop reusable solutions that make data easier to find, access, understand, and consume
Drive efficiency and reduce cost by challenging duplication, manual processes, one-off solutions, and unnecessary technology complexity
Develop and advocate for a point of view on data enablement capabilities, technology solutions, and investment priorities
Lead across Technology, Architecture, Governance, Risk, Data, and business teams to drive decisions and outcomes
Measure effectiveness and value, including adoption, reuse, delivery efficiency, user experience, and cost reduction

Requirements

What you’ll need

Strong background in technology, data engineering, data management, data architecture, technical product management, and/or data platforms
Broad understanding of the data lifecycle, from acquisition and storage through curation and consumption
Ability to translate complex business needs into clear technology and data requirements
Creative problem-solving ability
Ability to simplify solutions and identify cost efficiencies
Strong judgment and ability to develop, articulate, and defend a point of view
Ability to influence and drive outcomes across a complex, matrixed enterprise
Ability to work 1st shift
40 hours per week

Benefits

Comp & perks

Annual discretionary incentive plan eligibility
Benefits eligibility
Paid time off
Employee resources and support