Job Description
Roles & Responsibilities:
- Lead the architecture, design, and implementation of Industrial Data Platforms leveraging Cognite Data Fusion (CDF) for Energy & Utility clients.
- Architect solutions for asset monitoring, predictive maintenance, digital twins, operational intelligence, and sustainability initiatives.
- Drive the integration of OT systems (SCADA, DCS, PLCs, Historians) with enterprise platforms including ERP, EAM, GIS, Data Lakes, and Cloud ecosystems.
- Define and govern enterprise data models, data contextualization strategies, and industrial data governance frameworks to enable scalable and trusted data environments.
- Lead the development and execution of Energy Transition use cases, including renewable asset management, grid modernization, reliability improvement, and operational efficiency programs.
- Provide strategic leadership for cloud, edge, and enterprise integration architecture, ensuring alignment with business and technology objectives.
- Collaborate closely with Operations, Engineering, Maintenance, Digital, and IT stakeholders to deliver business-driven transformation outcomes.
- Establish and oversee solution governance, architecture standards, and best practices across large-scale transformation initiatives.
- Advise client executives on IIoT, industrial data strategy, OT/IT convergence, and digital transformation roadmaps.
- Mentor solution architects, engineering teams, and delivery organizations while providing technical leadership across complex programs.
- Drive innovation and thought leadership in Industrial IoT, operational data management, and digital asset performance optimization.
- Support business growth through solution development, client engagement, pursuit support, and strategic advisory services.
Our Ideal Candidate
/They will have 20-25 years of experience in Cognite Data Fusion (CDF) with a strong project track record and demonstrated P&L contribution to sales. A Bachelor's degree is required MBA is strongly preferred.
This person is motivated to deliver high-quality work to drive customer satisfaction. They use their intellect, insight, and ability to build creative solutions with clients and colleagues while embracing a collaborative mindset. Key qualifications include:
- Strong customer orientation, decision making, problem solving, communication and presentation skills
- Very good judgement skills and ability to shape compelling solutions and solve unstructured problems with assumptions
- Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread across geographies
- Ability to roll sleeves
- Strong executive presence and entrepreneurial spirit
- Superb leadership and team building skills with ability to build consensus and achieve goals through collaboration rather than direct line authority
More Info
Key Skills
Data Lakes
PLCs
OT systems
grid modernization
operational data management
Historians
renewable asset management
data contextualization strategies
cloud edge and enterprise integration architecture
enterprise data models
digital asset performance optimization
industrial data governance frameworks
Cloud ecosystems
operational efficiency programs
