Director, Commercial Operations & Analytics

MiniMed•Los Angeles, CA
•$167,000 - $316,000•Hybrid

About The Position

MiniMed is seeking a senior commercial operations leader to build the data, analytics, forecasting, and operational infrastructure that enables its sales and marketing teams to perform effectively. The role will define the commercial organization’s data and analytics strategy, improve forecasting, establish standard operating mechanisms, and lead automation and AI initiatives. The leader will partner with senior stakeholders across Sales, Marketing, Finance, IT, Supply Chain, and other functions, and serve as a strategic advisor to the Chief Commercial Officer and senior commercial leadership. The position is hybrid, with three days per week onsite in San Antonio, Texas.

Requirements

  • Bachelor’s degree and 10 or more years of progressive experience in Commercial Operations, Sales Operations, or a related function within a commercial organization; alternatively, an advanced degree and 8 or more years of such experience.
  • At least 7 years of proven leadership experience managing high-performing, cross-functional teams in a fast-paced, growth-oriented environment.

Nice To Haves

  • Demonstrated success building and executing a data and analytics strategy that produced measurable commercial outcomes.
  • Deep expertise in commercial forecasting, including methodology design, model development, and forecast governance.
  • A track record of designing and scaling standard operating mechanisms that improved organizational performance and accountability.
  • Hands-on experience leading automation and AI initiatives in commercial or business operations.
  • Executive presence and ability to influence, align, and inspire senior stakeholders.
  • Proficiency with modern analytics platforms such as Power BI, Tableau, Salesforce, or equivalent.
  • Experience in medical devices, healthcare, or life sciences.
  • Familiarity with AI/ML platforms and tools for commercial applications, such as predictive analytics, NLP, and recommendation engines.
  • Experience with CRM systems, ERP platforms, and commercial data infrastructure.
  • MBA or advanced degree in Business, Analytics, Data Science, or a related field.
  • Experience building from the ground up in a post-carve-out or high-growth environment.

Responsibilities

  • Define and drive the multi-year data and analytics strategy for the commercial organization, aligned with broader business objectives.
  • Develop a scalable analytics roadmap that advances from reporting and descriptive insights toward predictive and prescriptive intelligence.
  • Partner with senior leaders across Sales, Marketing, Finance, and IT to use data assets strategically and promote data-driven decision-making.
  • Translate complex data into actionable insights for executive decisions and field performance.
  • Lead and continuously improve commercial demand forecasting, sales planning, and revenue projection methodologies.
  • Develop repeatable forecasting models incorporating market dynamics, customer behavior, competitive intelligence, and business trends.
  • Establish forecast accuracy benchmarks and accountability frameworks, and provide confidence intervals, scenario planning, and risk-adjusted views.
  • Align forecasts with Finance, Supply Chain, and Marketing.
  • Design, implement, and scale standard operating mechanisms that improve consistency, accountability, and velocity across commercial operations.
  • Establish cadenced business reviews, performance dashboards, pipeline management processes, and field reporting frameworks.
  • Develop and maintain SOPs, playbooks, and governance frameworks; drive adoption across regional and field teams and refine them over time.
  • Create feedback loops between field execution and central operations.
  • Identify, prioritize, and implement automation opportunities across commercial operations.
  • Define and execute the commercial operations AI strategy, including AI-powered forecasting, customer segmentation, territory optimization, and sales performance analytics tools.
  • Partner with IT, Data Engineering, and external vendors to build and scale AI/ML capabilities embedded in commercial workflows.
  • Monitor emerging AI and automation technologies and evaluate opportunities for competitive advantage.
  • Develop ROI frameworks for automation and AI investments and measure outcomes against business priorities.
  • Lead, inspire, and develop the Commercial Operations team; attract and retain talent in analytics, data engineering, forecasting, and operations.
  • Advise the Chief Commercial Officer and senior commercial leaders, and represent Commercial Operations in executive forums, planning sessions, and strategic initiatives.
  • Model company values and promote an inclusive, collaborative, and innovative team culture.

Benefits

  • Competitive salary and flexible benefits package.
  • Health insurance.
  • Dental insurance.
  • Vision insurance.
  • Health Savings Account access.
  • Healthcare Flexible Spending Account access.
  • Life insurance.
  • Long-term disability leave.
  • Dependent daycare spending account.
  • Incentive plans.
  • 401(k) plan with company match.
  • Short-term disability coverage.
  • Paid time off and holidays.
  • Employee Stock Purchase Plan participation.
  • Employee Assistance Program access.
  • Eligible employees may have access to a Non-qualified Retirement Plan Supplement and Capital Accumulation Plan, subject to IRS minimum earnings requirements.
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