Overview
In this role you steer end-to-end digital programs across the Oil & Gas value chain to improve performance, reliability, and safety. You guide cross-functional teams through design, development, and deployment, linking operations with analytics, automation, and real-time monitoring. You enable scalable digital operating models and reusable architectures to drive measurable transformation. You collaborate with operations, IT/OT, and field teams to ensure adoption and impact. This is a chance to shape digital workflows and predictive solutions in a global delivery setup.
Compensation / Benefits
- Medical/Dental/Vision/Life Insurance
- Long-term/Short-term Disability
- Health and Dependent Care Reimbursement Accounts
- Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
- 401(k) plan and contributions dependent on salary level
- Paid holidays plus Paid Time Off
Responsibilities
- Lead end-to-end delivery of digital programs across Upstream, Midstream, and Downstream operations
- Translate operational challenges into executable digital solutions (analytics, automation, optimization, monitoring)
- Drive requirements, solution design, development, testing, deployment, and stabilization
- Build digital workflows, data dashboards, predictive models, and automated decision tools
- Collaborate with client operations, engineering, IT/OT, and field teams for successful implementation and adoption
- Serve as program lead or Agile delivery leader for multi-million-dollar transformation programs
- Provide Scrum Master leadership when required and manage scope, schedules, risks, dependencies, and quality across distributed teams
- Conduct workshops and readiness assessments with business and technical stakeholders
- Apply Agile, SAFe, hybrid, or waterfall delivery models as needed
- Identify and prioritize digital use cases across reliability, safety, throughput, cost, energy, and emissions
- Guide development of predictive/prescriptive analytics and enable scaling through reusable architectures and data pipelines
- Support automation-first solutions such as exception-based surveillance and rules-based workflows (light NLP/LLM usage)
Key requirements
- Bachelor's degree in a relevant field with 10 years of experience in consulting or Oil & Gas
- Proven delivery of digital transformation, analytics, or automation programs
- Hands-on experience with advanced analytics or predictive modeling and exposure to ML techniques
- Experience implementing digital workflows, real-time monitoring, or intelligent operations
- Experience leading distributed teams using Agile or hybrid methodologies
- Strong problem-solving and structured execution abilities
- Effective communication and stakeholder management in a global delivery context
- Willingness to travel extensively
- Authorization to work in the United States without visa sponsorship (Infosys cannot sponsor)
- Strong facilitation and workshop leadership
- Cross-functional collaboration
- Stakeholder management
- Advanced analytics or predictive modeling
- Automation workflows
- Real-time monitoring