Upstream Oil & Gas Manager

Deloitte•Jersey City, NJ
•$155,600 - $306,800

About The Position

Join Deloitte’s AI & Engineering team to transform technology platforms, drive innovation, and help clients improve financial performance, accelerate digital ventures, and grow through innovation. The team uses engineering capabilities to build, deploy, and operate integrated sector solutions across software, data, AI, networks, and hybrid cloud infrastructure. Its solutions modernize mission-critical operations, engineering teams, and technology and data platforms, with delivery models tailored to client needs. As a Manager on the AI & Engineering / Industry Solutions team, you will lead upstream digital transformation engagements and work with operations, engineering, reliability, and digital stakeholders to translate business challenges into technology-enabled solutions. You will guide cross-functional teams and contribute to proposals, points of view, and reusable methods for field automation, reliability, and AI and analytics offerings. The role may be based in any of the 14 listed U.S. locations and requires travel up to 50%, on average, depending on client and industry needs.

Requirements

  • At least 7 years of upstream oil and gas industry experience at an operator, oilfield services company, or OEM.
  • Experience delivering work in at least one of the following areas: field automation, IT/OT, and remote operations; reliability, maintenance, or asset management; or AI and analytics applied to drilling, production, artificial lift, or well performance.
  • Relevant field automation or IT/OT experience may include SCADA, DCS, PLCs, RTUs, IIoT sensors, remote or integrated operations centers, and edge-to-cloud data architectures.
  • Relevant reliability, maintenance, or asset management experience may include RCM, RBI, APM, CMMS, EAM, SAP Plant Maintenance, IBM Maximo, or predictive and prescriptive maintenance programs.
  • Experience leading transformation programs with responsibility for scope, budget, and team management across disciplines.
  • Experience presenting recommendations and program updates to operations, engineering, and digital leaders.
  • Bachelor’s degree in Petroleum, Mechanical, Electrical, or Chemical Engineering, or a related technical field.
  • Ability to travel up to 50% on average, depending on work and clients served.
  • Must be legally authorized to work in the United States without employer sponsorship now or in the future.
  • Ability to work independently and collaboratively.
  • Effective written and verbal communication skills.
  • Meticulous attention to detail and quality of work product.
  • Ability to build and sustain professional relationships.
  • Ability to lead projects or workstreams.
  • Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
  • Strong interpersonal skills and professional demeanor.
  • Ability to meet deadlines.
  • Ability to mentor and provide clear guidance to others.

Nice To Haves

  • Experience with remote operations center design and standup, digital twin, or production surveillance platforms.

Responsibilities

  • Lead end-to-end upstream digital transformation engagements across field automation, remote operations, reliability and maintenance, asset management, and artificial intelligence and analytics.
  • Build relationships with operations, engineering, reliability, and digital stakeholders, including vice president- and director-level leaders.
  • Translate challenges across drilling, production, artificial lift, well integrity, and facilities into technology-enabled solutions.
  • Develop client recommendations on SCADA, DCS, PLCs, remote operations centers, edge-to-cloud architectures, predictive and prescriptive maintenance, and AI-enabled production optimization.
  • Lead cross-functional teams spanning strategy, controls and automation engineering, data science, and organizational change management, delivering project scope, budget, and milestones.
  • Contribute to proposal development, points of view, and reusable methods for field automation, reliability, and AI and analytics offerings.
  • Mentor, coach, and develop junior practitioners.
  • Present recommendations and program updates to operations, engineering, and digital leaders.

Benefits

  • Discretionary annual incentive program; any award is subject to program rules and various factors, including individual and organizational performance.
  • Broad range of employee benefits; specific benefits are not detailed in the posting.
  • Opportunities for professional development, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service