About the role

Senior Solutions Consultant responsible for ENGIN implementation in utility sectors. Leading technical delivery and ensuring alignment with client objectives in a remote setting.

Responsibilities

Serve as the technical lead for ENGIN implementations, expansions, and complex configuration initiatives
Translate client asset, reliability, cost, and planning challenges into ENGIN data models, workflows, and analytics configurations
Design scalable solutions that balance client-specific needs with product standards and long-term maintainability
Act as a trusted technical advisor to clients on asset analytics, planning methodologies, and ENGIN best practices
Lead day-to-day delivery activities for assigned client projects
Requirements discovery and validation
Data ingestion, transformation, and validation
Configuration of ENGIN modules and workflows
User training and enablement
Partner with client technical teams to ensure successful deployment in real operational environments
Ensure implementations meet agreed scope, timelines, and quality standards
Work directly with client practitioners to understand how assets are managed and decisions are made
Identify gaps between current workflows and desired future-state analytics
Deliver training sessions that enable clients to confidently use ENGIN
Support the Client Success Manager by providing deep technical context during client discussions

Bachelor’s degree in Engineering, Applied Science, Data Analytics, Operations Research, or a related discipline (or equivalent experience)
5+ years of experience working with electric or gas utilities, infrastructure analytics, or enterprise asset management environments
Hands-on experience with asset data (health, reliability, risk, cost, performance)
Experience implementing or working with enterprise platforms such as EAM, GIS, analytics, or planning tools
Strong analytical skills with comfort working in large, complex data sets
Ability to translate ambiguous client problems into structured, implementable solutions
Excellent written and verbal communication skills
Comfortable working independently in a remote, fast-moving environment
High ownership mindset with a bias toward action and delivery
Experience working within Agile or hybrid delivery models
While deep coding expertise is not required, familiarity with modern data and cloud environments is valuable

Fully remote work
Flexible work hours (Core working hours 10:00AM to 3:00PM in your local time zone)
Autonomy with a wide range of responsibilities, opportunities for advancement, and cross-disciplinary exposure
Competitive base salary plus performance incentives
Stock options so you can realize the value created with your work in the organization
Paid time off and Benefits
Health spending account