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

Leads the Strategy Intelligence fee-for-service analytics portfolio, overseeing client engagement scoping, pricing, staffing, delivery, financial performance, contractual adherence, and client outcomes. Manages and develops analytics talent while partnering with Sales and cross-functional teams to expand offerings, improve delivery capabilities, and convert completed analyses into scalable insights. Requires strong commercial, financial, strategic analytics, executive communication, and client leadership experience.

Leads category strategy and complex strategic sourcing initiatives, including RFPs, supplier evaluation, negotiations, contracting, and implementation. Advises executives, clinicians, operational leaders, and suppliers; facilitates value analysis committees; analyzes spend, utilization, market, and supplier data; manages category portfolios; mentors team members; and drives savings, standardization, innovation, risk mitigation, and operational value. Applies AI tools responsibly to improve market intelligence, communications, analysis, and decision-making.

Leads clinical and operational analytics operations, overseeing analytics teams, capacity planning, quality, delivery performance, and cross-functional alignment. Translates complex healthcare data into actionable insights that support client value, retention, performance improvement, and measurable outcomes. Partners with leadership across data, technology, consulting, research, marketing, sales, finance, and operations while developing analytics talent and improving delivery capabilities.

Leads Vizient’s enterprise Master Data Management strategy, operating model, stewardship practices, standards, and platform roadmap. Partners with business, technology, governance, and product leaders to create trusted, reusable data assets, improve interoperability, support analytics and AI, and deliver measurable enterprise value. Builds high-performing teams and drives transformation through executive influence across a complex matrixed organization.

Develop advanced data science and AI/ML solutions using complex healthcare data. Apply statistical modeling, machine learning, NLP, and LLM techniques, including RAG and prompt optimization. Build production-ready workflows integrating models with APIs, data pipelines, enterprise applications, and cloud platforms. Analyze data quality and model performance, communicate findings to technical and executive audiences, and collaborate across product, engineering, clinical, technology, and business teams.

Drives market intelligence, product positioning, go-to-market initiatives, and product adoption. Conducts competitive research, develops personas and messaging, supports product launches, creates sales enablement materials, evaluates pricing and packaging, and analyzes performance metrics. Collaborates across product, sales, marketing, and client-facing teams to translate product capabilities into compelling customer value and growth strategies.

Support senior leaders by managing complex calendars, meetings, travel, expenses, communications, events, materials, action items, and competing priorities. The Executive Assistant will protect confidential information, coordinate leadership activities, serve as a liaison for stakeholders, improve administrative processes, and contribute to the Administrative Services community. This is a hybrid office-based role requiring three days onsite and periodic travel.

Leads strategic sourcing and complex contract negotiations across healthcare categories. Manages RFPs, bid evaluations, supplier selection, contract amendments, renewals, compliance, and performance monitoring. Develops sourcing strategies using spend analysis, market intelligence, benchmarking, and financial analysis to deliver savings. Partners with Legal, clients, suppliers, and internal stakeholders while presenting recommendations to executive audiences and supporting workflow and savings tracking through analytical and contracting tools.

Design and build scalable backend systems and cloud infrastructure for AI/ML applications, while implementing engineering standards and mentoring engineers.

Develop automated analytics products and advanced data science solutions using machine learning, NLP, statistical modeling, predictive analytics, and generative AI. Lead end-to-end workflows from data preparation and experimentation through model validation, deployment, and visualization. Partner with product, engineering, and platform teams to move solutions from research into production, communicate findings to technical and non-technical audiences, and guide other data scientists.