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Data Management & Strategy - Oil & Gas - Manager- Consulting

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: EY
Full Time position
Listed on 2026-02-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below
Position: Data Management & Strategy - Oil & Gas - Manager- Consulting - Location OPEN

Overview

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Position

Data Management and Strategy - Manager – Oil & Gas Sector

Base pay

$/yr - $/yr

Location

Anywhere in Country

Notes

Pay found in job post. Retrieved from the description.

Your Opportunity

We are looking for a Data & Analytics Manager to join our team and help deliver data-driven insights and solutions to our oil & gas clients. You will guide clients through the evolving world of analytics, data governance, and modern data platforms. You will provide strategic leadership and a business-focused perspective on how data and analytics can improve operations, increase agility, and drive transformation.

In this role, you will design and apply comprehensive methods to govern the entire lifecycle of data assets, ensure protection and monetization, perform maturity assessments on data management capabilities, and advise on tools and roadmaps to implement them, aligning data strategies with business objectives.

Key Responsibilities
  • Lead complex processes and projects with focus on quality and risk management; manage client relationships and engagement delivery with regular travel to client sites.
  • Develop resource plans and budgets for engagements, ensuring effective engagement economics.
  • Define and execute analytics and data governance strategy for oil & gas clients, aligning with business objectives and regulatory requirements.
  • Develop and implement robust data governance frameworks including policies, data stewardship models, roles, and accountability.
  • Oversee Master Data Management (MDM), metadata management, and data cataloging to ensure data consistency and trust.
  • Ensure compliance with data privacy, protection, and regulatory standards (e.g., GDPR, CCPA) in collaboration with Legal, Security, and Risk teams.
  • Lead and mentor a multidisciplinary team of analysts, engineers, and data stewards.
  • Design scalable, secure data architectures with enterprise architects and IT to support BI and advanced analytics.
  • Oversee cloud-based data platforms and technologies (Databricks, Snowflake, Azure, AWS, Hadoop) for ingestion, storage, and processing.
  • Drive design and implementation of analytical models, data pipelines, and visualizations to generate actionable insights.
  • Translate business initiatives into prioritized use cases with measurable ROI and manage delivery across domains.
  • Develop and champion data literacy programs and change management to embed a data-driven culture.
  • Communicate analytical findings through dashboards and visualizations tailored to business and technical audiences.
  • Build and maintain trusted relationships with client stakeholders across operations, IT, engineering, and executive leadership.
  • Stay abreast of emerging technologies and oil & gas domain trends.
Qualifications
  • A bachelor’s degree is required; a Master’s degree in a quantitative or technical field with prior consulting experience is preferred.
  • At least 6 years of relevant experience in data analytics, data governance, or data strategy, preferably in the oil & gas industry.
  • Experience deploying analytics solutions across upstream, midstream, and downstream domains.
  • Deep knowledge of data governance, data quality, stewardship, compliance, and policy creation.
  • Experience in Master Data Management (MDM), metadata, lineage tracking, and data catalog tools (e.g., Collibra, Alation).
  • Proficiency with SQL, Python, R, Power BI, Tableau, Cognite, Palantir, Dataiku, or similar.
  • Hands-on experience with big data and cloud platforms such as Databricks, Snowflake, Azure (Data Factory, Azure

    ML), AWS, Hadoop.
  • Ability to lead large-scale digital transformation engagements and manage delivery risk.
  • Strong communication and stakeholder management skills across technical and business domains.
  • Mentoring and leadership capabilities for data teams; passion for knowledge sharing.
  • Understanding of regulatory and data privacy implications in the oil & gas sector.
  • A valid U.S. driver’s license and willingness to travel to client locations as…
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