Data Engineering, Management & Governance Manager
Listed on 2026-10-17
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IT/Tech
Data Engineering
We Are
The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem automation.
The WorkWe are seeking a Data Engineering, Management & Governance Manager to own the technical integrity and delivery of strategic AI insights platforms that translate enterprise data into measurable business value. This role sits at the intersection of data architecture, AI platform engineering, and business value realization. It combines the rigor of a data fabric architect with the commercial instincts of a strategic AI platform builder.
You will design and maintain intelligent data platforms that ingest, model, and govern enterprise data across distributed environments — integrating AI capabilities, connecting to systems like Salesforce and Palantir Foundry, and enabling coverage and conversion metrics that drive sales and operational decisions. You will serve as the technical authority on data quality, ontology design, platform versioning, and integration engineering and ensure the platforms your team builds remain trustworthy, scalable, and impactful over time.
YouAre
An Enterprise AI Value Engineer who combines data architecture depth with AI platform engineering capability. You bring:
Credentials — a proven track record of delivering enterprise data and AI platforms — from strategic architecture through production deployment — in complex client or enterprise environments.
Capability — hands‑on proficiency across data fabric design, cloud data platforms (Snowflake, Databricks, Azure Synapse, Big Query), pipeline engineering, and AI‑integrated analytics solutions.
Commercial Acumen — the ability to connect the tool, the data, and the business — designing platforms that power whitespace identification, KPI measurement, and revenue growth insights.
Connections — trusted advisor presence with client architects and leaders — able to shape reference architectures, facilitate design sessions, and communicate technical solutions to non‑technical stakeholders.
Content — a systems‑builder mindset — able to instrument, version, govern, and maintain platforms so they deliver durable value without accumulating technical debt.
Architect & Deliver Enterprise Data Fabric Solutions
Design enterprise data fabric solutions that deliver unified, intelligent, automated access to distributed data across on‑premises and multi‑cloud environments.
Integrate data virtualization, active metadata, knowledge graphs, cataloging, and automated data integration into a connected data layer that powers analytics and AI.
Define reference architectures, integration patterns, and governance frameworks that scale across the enterprise and remain maintainable over time.
Apply data mesh and data product operating models to support self‑service consumption, real‑time data delivery, and decentralized data ownership.
Build & Maintain Strategic AI Insights Platforms
Own the technical build, versioning, and ongoing maintenance of strategic AI insights platforms, managing releases, schema evolution, and platform integrity over time.
Find, ingest, and clean new data sources, expanding platform coverage as new whitespace opportunities, accounts, or market segments are identified.
Design data models and ontologies that structure whitespace and pipeline data so it is queryable, consistent,…
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