Enterprise Data Fabric & AI Platform Lead

Accenture PLC; Chicago (IL); On-site; USD 87,000 - 254,000; Full time

Job summary

Accenture is 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.

You will design and maintain intelligent data platforms that ingest, model, and govern enterprise data across distributed environments — integrating AI capabilities with

Qualifications

• Minimum 5 years of experience in data architecture, AI platform delivery, or enterprise data engineering.
• Experience architecting data fabric solutions with data virtualization, active metadata, knowledge graphs, and automated data integration.
• Hands-on proficiency with cloud data platforms and end-to-end data pipelines.

Responsibilities

• Architect and deliver enterprise data fabric solutions across on-premises and multi-cloud environments.
• Build and maintain strategic AI insights platforms with controlled releases and schema evolution.
• Integrate AI insights platforms with enterprise systems (Salesforce, Palantir Foundry) and cloud data platforms for real-time workflows.
• Govern data quality, security, access, and metadata lineage to ensure trust and explainability.
• Enable business value by translating requirements into reusable data assets, templates, and reference architectures.

Skills

Data architecture

AI platform delivery

Cloud data platforms

Tools

Snowflake

Databricks

Azure Synapse Analytics

BigQuery

Job description

Accenture is 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.

You will design and maintain intelligent data platforms that ingest, model, and govern enterprise data across distributed environments — integrating AI capabilities with