Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Work you'll do
As a Manager on the AI & Engineering / Industry Solutions team, you will be responsible for…
- Lead end-to-end delivery of 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 leaders at the vice president and director levels, and translate challenges across drilling, production, artificial lift, well integrity, and facilities into technology-enabled solutions.
- Develop client recommendations on supervisory control and data acquisition (SCADA), distributed control systems (DCS), programmable logic controllers (PLCs), remote operations centers, edge-to-cloud architectures, predictive and prescriptive maintenance, and AI-enabled production optimization.
- Lead cross-functional teams across strategy, controls and automation engineering, data science, and organizational change management to deliver 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.
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- 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 and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
The team
Our Industry Solutions offering provides verticalized solutions that transform how clients sell products, deliver services, generate growth, and execute mission-critical operations. We deliver integrated business expertise with scalable, repeatable technology solutions specifically engineered for each sector.
Deloitte’s Power, Utilities & Renewables practice is at the forefront of top trends and issues facing the ever-evolving power, utilities and renewable energy landscape. Building on more than 175 years of service, our US Power, Utilities & Renewables practice helps clients with some of their most complex challenges as they look to accelerate digital transformation, ignite technological innovation, and navigate more sustainable solutions for energy generation.
Qualifications
Required:
- 7+ years of upstream oil & gas industry experience at an operator, oilfield services company, or original equipment manufacturer (OEM)
- Experience delivering work in one or more of the following: field automation, information technology/operational technology (IT/OT), and remote operations, including supervisory control and data acquisition (SCADA), distributed control systems (DCS), programmable logic controllers (PLCs), remote terminal units (RTUs), Industrial Internet of Things (IIoT) sensors, remote or integrated operations centers, and edge-to-cloud data architectures; reliability, maintenance, or asset management, including reliability-centered maintenance (RCM), risk-based inspection (RBI), asset performance management (APM), computerized maintenance management systems (CMMS), enterprise asset management (EAM), SAP Plant Maintenance, IBM Maximo, or predictive and prescriptive maintenance programs; or artificial intelligence and analytics applied to drilling, production, artificial lift, or well performance
- 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, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Experience with remote operations center design and standup or digital twin or production surveillance platforms
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is 155,600 to $306,800
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
