Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Leads consulting engagements for utility clients focused on customer experience, meter-to-cash, and customer operations. Responsibilities include CX strategy, operational assessments, journey mapping, customer research, client workshops, project oversight, sales support, practice development, marketing content, staff coaching, and executive client relationship management. Requires deep utility industry knowledge, customer transformation expertise, CIS vendor experience, and approximately 50% travel to client sites.

Leads complex research, evaluation, and advisory engagements for utility clients. Owns strategic relationships, directs multidisciplinary teams, guides qualitative and quantitative methods, oversees quality, budgets, staffing, and project economics, and translates findings into actionable recommendations. The role also drives proposals, business development, thought leadership, staff development, and practice strategy while serving as a senior advisor on energy and utility matters.

Supports applied research and evaluation projects for utility clients by collecting and analyzing qualitative and quantitative data, conducting interviews and surveys, creating visualizations, documenting methods, and contributing to client-ready reports and presentations. The role involves collaborative project delivery, quality control, task management, and developing foundational consulting and energy industry expertise under guidance from experienced team members.

Owns end-to-end delivery of production data platforms for utility clients, including discovery, architecture, ingestion, transformation, orchestration, governance, quality, deployment, and handover. Uses Databricks, Spark, Python, SQL, and AWS to modernize legacy systems, integrate utility data sources, build observable pipelines, and deliver operator-facing applications. Leads client engagements, manages scope and timelines, supports migrations, and contributes reusable engineering frameworks and reference architectures.

Build and deploy production generative AI and machine learning systems for utility clients. Own engagements end to end, including discovery, architecture, retrieval, model selection, evaluation, deployment, monitoring, operator-facing applications, and post-go-live support. Integrate with client data and business systems, establish AI safety and governance controls, manage scope and risk, and communicate with technical teams and executives. Contribute reusable accelerators, evaluation frameworks, and reference architectures across client engagements.

Supports AMI and utility technology implementations through test strategy development, requirements traceability, test execution, defect resolution, data-flow validation, and data-quality reviews. Analyzes system exceptions and operational reports, validates meter and installation records, and helps establish sustainable data-management, quality-assurance, remediation, and escalation processes. Provides documentation, training, coaching, and implementation support to utility clients, vendors, integrators, and field teams.

Design, build, and maintain scalable data pipelines, lakes, and infrastructure using Databricks, Spark, Python, and AWS. Collaborate with ML engineers, data scientists, and analysts to deliver data products, ensure data quality and governance, implement DevOps/SDLC practices, mentor junior engineers, and evaluate new data technologies.