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Data Enablement Technology & Solutions Lead

Listing for: Bank of America
Full Time position Listed on 2026-11-08
Job specializations:
  • IT/Tech
    IT Business Analyst, Data Engineering, IT Project Manager, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR

Job Description & How to Apply Below

Job Description:

Data Enablement Technology & Solutions Lead Role Summary

The Data Enablement Technology & Solutions Lead will own the end-to-end requirements for how data is acquired, stored, maintained, curated, accessed, and used across the enterprise
. This leader will partner closely with multiple technology teams, data management, governance, and business teams to translate data needs into scalable, practical, and cost-effective solutions. The ideal candidate combines a strong technology background with creative problem-solving and an enterprise mindset. They will develop a clear point of view on how capabilities should evolve, challenge complexity and unnecessary cost, and navigate multiple partners to drive decisions and execution.

Key Responsibilities
  • 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.
  • Simplify and enable data usage by identifying barriers and developing 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 strong point of view on data enablement capabilities, technology solutions, and investment priorities.
  • Lead across enterprise partners, navigating competing priorities 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.
Qualifications
  • 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.
  • Proven ability to translate complex business needs into clear technology and data requirements.
  • Creative problem solver with demonstrated ability to simplify solutions and identify cost efficiencies.
  • Strong judgment and ability to develop, articulate, and defend a point of view.
  • Demonstrated ability to influence and drive outcomes across a complex, matrixed enterprise.
Shift:

1st shift (United States of America)

Hours Per Week:

40

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