Data Enablement Technology & Solutions Lead

Data Enablement Technology & Solutions Lead

New York, New York;Washington, District of Columbia; Richmond, Virginia; Charlotte, North Carolina; Newark, Delaware

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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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