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About the Role

We 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, combining the rigor of a data fabric architect with the commercial instincts of a strategic AI platform builder.

Responsibilities

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, and ready to feed downstream AI and analytics workflows.
Instrument platforms to enable automated coverage and conversion metric extraction, moving from manual survey-based measurement to reliable, system-generated KPIs.
Integrate AI & Enterprise Systems
Connect AI insights platforms to enterprise systems including Salesforce CRM, Palantir Foundry, and other source systems — enabling automated cohort tagging, pipeline tracking, and KPI measurement to flow end-to-end.
Integrate cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery) with AI/ML pipelines and analytics workflows to power intelligent automation and decision support.
Design and implement API and streaming architectures that support real-time data delivery and event-driven AI platform workflows.
Build and maintain ETL/ELT pipelines and metadata lineage solutions that keep data flowing reliably and traceably across the enterprise data estate.
Govern Data Quality, Security & Access
Own data quality governance and establish data validation, monitoring, and remediation practices that keep platform inputs trustworthy over time.
Handle account and client data responsibly, implementing security, access controls, and data governance practices appropriate for sensitive pipeline and market penetration data.
Maintain metadata lineage and cataloging so data provenance is auditable and platform outputs are explainable to business and technical stakeholders alike.
Proactively identify and address data quality risks that could degrade platform reliability or undermine the business value case over time.
Enable Business Value & Client Advisory
Engage client data architects and business leaders as a trusted technical advisor — facilitating design thinking sessions, shaping solution architectures, and aligning platform capabilities to business outcomes.
Translate business requirements, such as whitespace identification, account penetration measurement, and revenue growth targeting, into platform data models and AI-powered workflows.
Partner with pursuit teams and business stakeholders to shape architectures and delivery models for major data modernization and AI value programs.
Build reusable data assets, pipeline templates, and reference architectures that accelerate delivery across future client engagements.
Drive Continuous Platform Innovation
Research and evaluate emerging cloud data platforms, data fabric technologies, and AI integration patterns to continuously advancing the technical quality of delivered solutions.
Apply modern streaming, API, and event-driven architecture patterns to expand platform capabilities and reduce latency in data delivery.
Contribute thought leadership on enterprise data fabric, AI-integrated data platforms, and whitespace value engineering to internal communities and client engagements.

Requirements

Minimum of 5 years of experience in the following:
Data architecture, enterprise data engineering, or AI platform delivery.
Architecting data fabric solutions — including data virtualization, active metadata management, knowledge graphs, and automated data integration.
With cloud data platforms: Snowflake, Databricks, Azure Synapse, BigQuery, or equivalent.
With data integration, ETL/ELT pipelines, and metadata and lineage tooling.
Designing API and streaming architectures for real-time data delivery.
With enterprise CRM or operational platform integration (Salesforce preferred) in the context of data engineering or AI platform delivery

Skills

Cloud Data Platforms: Snowflake (including Cortex AI, Snowpark), Databricks, Azure Synapse Analytics, Google BigQuery.
Data Fabric & Integration: Data virtualization, active metadata management, knowledge graphs, automated data integration, and data cataloging (e.g., Informatica, Alation, Collibra, or equivalent).
Pipeline Engineering: ETL/ELT design and delivery using tools such as dbt, Apache Spark, Azure Data Factory, AWS Glue, or equivalent.
Data Modeling & Ontology: Dimensional modeling, graph data modeling, ontology design, and schema evolution for AI-ready data platforms.
Streaming & API Architecture: Apache Kafka, Azure Event Hubs, AWS Kinesis, REST/GraphQL API design, and event-driven integration patterns.
Enterprise System Integration: Salesforce (data integration and pipeline tagging), Palantir Foundry, or equivalent enterprise platforms.
AI/ML Platform Integration: Connecting data platforms to AI/ML workflows, vector databases, RAG pipelines, and analytical AI models.
Data Governance & Quality: Metadata lineage, data quality monitoring, access control frameworks, and audit logging for sensitive enterprise data.
Analytics Enablement: Instrumentation of platforms for automated KPI extraction, coverage metrics, and conversion measurement.
Security & Access Management: Data security best practices, role-based access control, and governance in regulated or sensitive data environments.
Programming: Python and/or SQL proficiency for pipeline development, data transformation, and platform automation.
Hands-on experience applying data mesh and data product operating models in enterprise delivery contexts.
Cloud or data platform architecture certifications: Snowflake, Databricks, AWS, Microsoft Azure, or Google Cloud (data engineering or AI/ML specializations preferred).
Direct experience in Oil & Gas, energy, utilities, or industrial sectors — particularly with OT data environments, time-series data, or sector-specific AI use cases.
Experience with Palantir Foundry data modeling, ontology design, or pipeline development.
Familiarity with SAFe (Scaled Agile Framework) or enterprise delivery frameworks at scale.
Experience contributing to open-source data platform or AI engineering projects, or published thought leadership in enterprise data architecture.
MBA or advanced graduate degree in a technical or business discipline.

Location

California
Colorado
Connecticut
District of Columbia
Illinois
Maine
Maryland
Massachusetts
Minnesota
New York
New Jersey
Ohio
Virginia
Washington

Work Type

Travel may be required for this role. 0 to 100% depending on client and business needs.

Experience Level

Minimum of 5 years of experience

Education Level

MBA or advanced graduate degree in a technical or business discipline.

Salary/Compensations

California $94,400 to $293,800
Colorado $94,400 to $253,800
Connecticut $94,400 to $253,800
District of Columbia $100,500 to $270,300
Illinois $87,400 to $253,800
Maine $80,400 to $216,200
Maryland $94,400 to $253,800
Massachusetts $94,400 to $270,300
Minnesota $94,400 to $253,800
New York $87,400 to $293,800
New Jersey $100,500 to $293,800
Ohio $87,400 to $235,000
Virginia $87,400 to $270,300
Washington $100,500 to $270,300

Benefits

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

About the Company

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.
Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships.
We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.
Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships.
We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

Equal Opportunity

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.
Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.