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

Develop and deploy scalable data science products using machine learning, generative AI, NLP, statistical modeling, and predictive analytics. Analyze complex datasets, manage end-to-end modeling workflows, communicate insights through dashboards and presentations, and partner with engineering teams on production deployment. Provide technical guidance, apply responsible AI and model governance practices, and evaluate emerging technologies for business and clinical outcomes.

Leads the design, development, and deployment of advanced data science, machine learning, generative AI, and agentic AI solutions. Builds scalable analytics products, RAG systems, and evaluation frameworks; establishes technical standards and responsible AI governance; mentors data scientists; and partners with engineering teams to deploy and monitor production solutions. Translates complex analyses into actionable clinical, operational, and economic insights while guiding technical strategy and client-focused initiatives.

Lead and oversee enterprise ML and statistical modeling efforts, build and mentor data science teams, ensure model governance and compliance, collaborate cross-functionally to deliver scalable AI solutions that drive business outcomes, and advance research and adoption of cutting-edge ML methods.

Lead strategic sourcing for Physician Preference Item (PPI)/Clinical category. Drive end-to-end sourcing lifecycle, negotiate complex supplier contracts, facilitate value analysis committees, analyze spend and supplier performance, present recommendations to executives, and apply AI to improve decision-making and value realization.

Provide strategic health care advisory services for the Life Sciences consulting team, managing projects and delivering data analysis with strategic recommendations.

Provide day-to-day account management support including scheduling, documentation, CRM updates, reporting, client research, meeting logistics, and preparation of presentations and materials. Ensure data integrity and consistent reporting, support onboarding and training, and drive continuous improvement so senior consultants can focus on strategic client engagement.

Own product backlog and roadmap for knowledge and semantic platform capabilities (ontology, knowledge graph, taxonomy, metadata). Conduct discovery with internal clients, define semantic models, entity relationships, and requirements; partner with engineering, data, and AI teams to deliver reusable platform services; promote governance, data stewardship, validation, adoption, and metrics to improve semantic quality and AI-enabled product delivery.

Build, validate, and deploy customer-facing software and platform work in a small, startup-like R&D unit. Partner with product leaders, move rapidly from prototype to production, make pragmatic technical decisions, and shape the R&D unit while shipping software used in live healthcare environments.

Lead planning and execution of a portfolio of Spend Management technology programs. Coordinate cross-functional teams (cloud, data, AI/ML, security), manage dependencies, risks, budgets, governance, roadmaps, and executive reporting to ensure delivery of cloud, SaaS, data, analytics, and AI solutions.

Develop and execute go-to-market strategies for healthcare data and analytics SaaS products. Lead product launches, create positioning and persona messaging, synthesize market and competitive insights, enable sales with training and battle cards, align cross-functional stakeholders, track product marketing metrics, and analyze performance to optimize pipeline and revenue.