Senior Manager, Data Science – Advanced Analytics

This is a fully remote position, open to applicants in Colorado, +2 more states.

📋 Description

• Lead, mentor, and enhance the capabilities of data scientists and analysts.

• Manage the daily portfolio across both commercial and enterprise stakeholders.

• Collaborate with business leaders to pinpoint high-value opportunities for advanced analytics, machine learning, forecasting, causal inference, segmentation, optimization/automation, and AI-enabled decision-making.

• Convert vague business inquiries into well-defined analytical products with specified users, success metrics, timelines, risks, and adoption strategies.

• Provide final reviews and technical direction for analytical design, model selection, validation, interpretation, explainability, bias assessment, and communication of limitations.

• Facilitate the transition from basic reporting, routine data extraction, and repeatable analyses to governed self-service solutions or appropriate business ownership.

• Develop reusable methodologies, shared standards, and scalable workflows.

• Present insights as clear business narratives with recommendations, trade-offs, and subsequent steps.

• Work in collaboration with IT, data, privacy, legal, compliance, and business teams on data access, platform requirements, deployment, governance, and the responsible use of analytics and AI.

• Supervise the assessment of solution adoption, model performance, operational results, and business impact.

• Assist in talent planning, recruitment, resource distribution, vendor or contractor coordination, and the development of the team operating model.

• Maintain a hands-on technical expertise to guide complex tasks, troubleshoot critical issues, and contribute to priority analyses.

⛳️ Requirements

• Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, economics, or a related quantitative discipline; an advanced degree is highly preferred.

• Over 7 years of experience applying data science and advanced analytics to tangible business challenges, including ownership from problem identification through to adoption and evaluation.

• More than 3 years of experience in people leadership, including coaching technical team members, reviewing work, establishing standards, and coordinating delivery across various projects.

• Proficiency in Python or R, along with a strong working knowledge of SQL.

• Familiarity with modern cloud analytics environments and version-controlled development practices.

• Proven knowledge of statistical modeling and machine learning techniques.

• Experience in building trust-based partnerships with commercial, marketing, sales, operations, finance, strategy, or other business areas.

• Ability to distill complex analyses into succinct, decision-focused recommendations for senior leaders and non-technical audiences.

• Experience in developing self-service analytics, repeatable products, or transition strategies that bring routine tasks closer to business users.

• Exceptional prioritization, organizational, and change management abilities in a dynamic, fast-paced environment.

• Working knowledge of responsible AI, data privacy, model governance, and validation practices.

• Experience in a regulated industry is advantageous.

• Background in healthcare, medical devices, CRM, electronic health records, or claims data is a plus.

• Interest in gaining knowledge about commercial, operations, finance, and clinical business sectors is a plus.

• Limited travel, generally under 10%, may be required.

🏝️ Benefits

• Health benefits – Medical, Dental, Vision.

• Personal and Vacation Time.

• Retirement & Savings Plan (401K).

• Employee Stock Purchase Plan.

• Training & Education Assistance.

• Bonus Referral Program.

• Service Awards.

• Employee Recognition Program.

• Flexible Work Schedules.

• Discretionary annual bonus.