Enterprise Data Platform Lead — AI & Governance

Accenture PLC

Carmel (IN)

On-site

USD 120,000 - 260,000

Full time

14 days+

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Benefits package

Job summary

Accenture PLC is seeking a Data Engineering, Management & Governance Manager to own AI-driven data platform delivery. You’ll design data fabrics, govern quality, and integrate systems like Salesforce and Palantir Foundry.

You’ll lead architecture, deployment, and ongoing optimization to convert data into measurable business value. You will collaborate with client architects and leaders, shaping reference architectures and data models while driving real-time analytics and enterprise-scale

Qualifications

  • 5+ years of experience in data architecture or AI platform delivery.
  • Experience with cloud data platforms and data integration tooling.
  • Ability to design AI-enabled data platforms that scale across enterprise systems.

Responsibilities

  • Architect and deliver enterprise data fabric solutions across multi-cloud environments.
  • Lead integration with Salesforce, Palantir Foundry, and other source systems.
  • Own data quality governance, metadata lineage, and security practices.
  • Build AI-enabled data platforms and KPI-driven analytics workflows.
  • Engage clients as a trusted advisor and translate business needs into platform models.
  • Drive continuous platform innovation and pattern-based delivery.

Skills

Data architecture
AI platform delivery
Cloud data platforms
Pipeline engineering
API & streaming
Salesforce integration
Palantir Foundry
Python/SQL

Tools

Snowflake
Databricks
Azure Synapse
BigQuery
dbt
Apache Spark
Azure Data Factory
AWS Glue
Informatica/Alation/Collibra

Job description

Accenture PLC is seeking a Data Engineering, Management & Governance Manager to own AI-driven data platform delivery. You’ll design data fabrics, govern quality, and integrate systems like Salesforce and Palantir Foundry.

You’ll lead architecture, deployment, and ongoing optimization to convert data into measurable business value. You will collaborate with client architects and leaders, shaping reference architectures and data models while driving real-time analytics and enterprise-scale

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