Enterprise Data Platform Lead for AI & Governance

Accenture; New York (NY); Vor Ort; USD 87.000 - 294.000; Vollzeit

Zusammenfassung

Accenture seeks a Data Engineering, Management & Governance Manager to own the technical integrity and delivery of AI insights platforms. You will design and maintain data platforms that ingest, model, and govern enterprise data, integrating Salesforce and Palantir Foundry to drive sales and operations decisions.

You will lead data quality governance, ontology design, and platform versioning, collaborating with client architects and leaders to deliver scalable, trustworthy data solutions that

Qualifikationen

• Minimum 5 years in data architecture or AI platform delivery in complex environments.
• Experience with data fabric design and cloud data platforms.
• Ability to connect data, business value, and platform architectures.

Aufgaben

• Architect and deliver enterprise data fabric solutions across on-premises and multi-cloud environments.
• Build and maintain strategic AI insights platforms with ongoing governance and reliability.
• Ingest, model, and govern enterprise data to enable KPI measurement and revenue growth insights.
• Integrate Salesforce, Palantir Foundry, and other source systems for end-to-end workflows.
• Design APIs and streaming architectures for real-time data delivery.
• Establish data quality governance and metadata lineage practices.

Kenntnisse

Data architecture

AI platform engineering

Data fabric design

Cloud data platforms

Pipeline engineering

Governance & QA

Stakeholder engagement

Tools

Snowflake

Databricks

Azure Synapse

BigQuery

Salesforce

Palantir Foundry

dbt

Apache Spark

Jobbeschreibung

Accenture seeks a Data Engineering, Management & Governance Manager to own the technical integrity and delivery of AI insights platforms. You will design and maintain data platforms that ingest, model, and govern enterprise data, integrating Salesforce and Palantir Foundry to drive sales and operations decisions.

You will lead data quality governance, ontology design, and platform versioning, collaborating with client architects and leaders to deliver scalable, trustworthy data solutions that