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Director Operational Analytics Jobs in California

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Director Operational Analytics information

See California salary details

$33.6K

$106.3K

$177.2K

How much do director operational analytics jobs pay per year?

As of Jul 20, 2026, the average yearly pay for director operational analytics in California is $106,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $133,700.00 per year, depending on experience, location, and employer.

What does a director of analytics do?

A director of analytics oversees data analysis teams to develop strategies that improve business performance. They interpret complex data, create reports, and collaborate with other departments to inform decision-making, often using tools like SQL, Tableau, or Python. Strong leadership, analytical skills, and experience in data management are essential for this role.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often executive-level positions such as Chief Data Officer or Director of Analytics, which can offer salaries exceeding $150,000 annually. These roles typically require extensive experience, advanced skills in data management and strategy, and often involve overseeing large teams and complex projects.

How does a Director of Operational Analytics typically collaborate with cross-functional teams to drive business improvements?

A Director of Operational Analytics frequently partners with departments such as finance, operations, IT, and business strategy to align analytical insights with organizational goals. This often involves leading data-driven projects, facilitating workshops, and translating complex analytics into actionable recommendations for non-technical stakeholders. Effective communication and relationship-building are essential, as the role serves as a bridge between technical analytics teams and business leaders to ensure that data initiatives have measurable, positive impacts on operational efficiency and strategic decision-making.

What are the key skills and qualifications needed to thrive as a Director of Operational Analytics, and why are they important?

To thrive as a Director of Operational Analytics, you need advanced analytical expertise, a strong background in statistics or data science, and substantial experience in operations management, often supported by a relevant degree. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms, as well as certifications like Six Sigma or PMP, are typically required. Leadership, strategic thinking, and excellent communication skills help drive cross-functional initiatives and translate complex data into actionable business insights. These skills are crucial for optimizing operational efficiency, guiding data-driven decision-making, and achieving organizational goals.

What is the difference between Director Operational Analytics vs Data Analytics Manager?

AspectDirector Operational AnalyticsData Analytics Manager
ResponsibilitiesOversees analytics strategies, leads teams, and aligns analytics with business goalsManages data analysis projects, supports decision-making, and supervises analysts
Required SkillsAdvanced analytics, leadership, strategic planningData analysis, technical skills, project management
Work EnvironmentSenior leadership, cross-department collaborationTeam management, project-focused
CertificationsAdvanced degrees, analytics certifications often preferredData analysis certifications, technical credentials

The main difference is that the Director Operational Analytics holds a strategic leadership role, overseeing analytics initiatives across the organization, while the Data Analytics Manager focuses on managing data projects and teams. Both roles require strong analytical skills, but the director position emphasizes strategic planning and leadership.

What does a Director of Operational Analytics do?

A Director of Operational Analytics leads a team responsible for analyzing business operations data to drive efficiency, improve performance, and support strategic decision-making. They oversee the collection, interpretation, and reporting of operational metrics, and collaborate with other departments to identify trends and opportunities for process improvement. Their role often involves developing data-driven strategies, implementing analytics tools or platforms, and communicating insights to senior leadership. Ultimately, they play a crucial part in helping organizations optimize their operations and achieve business goals.

Is a director of operations a high position?

A director of operations is a senior leadership role responsible for overseeing daily business activities, strategic planning, and operational efficiency. It is considered a high-level position within an organization, often reporting to executive management and requiring extensive experience and leadership skills.

What does an operations analytics manager do?

An operations analytics manager oversees the analysis of data related to business operations to improve efficiency, reduce costs, and support decision-making. They use tools like SQL, Excel, and data visualization software, and often collaborate with cross-functional teams to implement data-driven strategies.
What are popular job titles related to Director Operational Analytics jobs in California? For Director Operational Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Director Operational Analytics jobs in California look for? The top searched job categories for Director Operational Analytics jobs in California are:
Director Operational Analytics jobs near you
Infographic showing various Director Operational Analytics job openings in California as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $106,270 per year, or $51.1 per hour.

Senior Director, Advanced Analytics and Data Science

BeOne Medicines

San Carlos, CA • On-site

Full-time

Posted 14 days ago

Job description

Job Summary:
BeOne Medicines is a rapidly growing company focused on fighting cancer. They are seeking a Senior Director of Advanced Analytics and Data Science to lead the development and scaling of analytics and AI solutions that enhance decision-making across various operational areas, while collaborating with multiple stakeholders to build effective analytics capabilities.
Responsibilities:
• Define and lead the advanced analytics capability roadmap, aligning analytics investments with priorities across Commercial, Medical Affairs, and Clinical Operations and measurable enterprise outcomes.
• Develop patient journey and evidence-oriented analytics using longitudinal healthcare data, claims, prescription, specialty pharmacy, EHR, clinical trial, real-world data, and other relevant data sources to identify key moments of intervention, access barriers, adherence challenges, scientific insights, and CT acceleration.
• Design and scale analytics solutions that support omnichannel engagement, customer segmentation, campaign measurement, field effectiveness, medical engagement, and CT acceleration.
• Lead the development and deployment of predictive models, machine learning capabilities, next-best-action solutions, and decision-support tools that enable more personalized, evidence-based, and effective engagement and operational planning.
• Shape and evangelize the organization’s AI strategy for analytics, including practical use cases for generative AI, agentic AI, natural language interfaces, intelligent automation, and decision intelligence across Commercial, Medical Affairs, and Clinical Operations.
• Serve as a strategic partner to Commercial, Medical Affairs, and Clinical Operations leaders by translating business, scientific, and operational questions into analytical approaches, data requirements, and actionable recommendations.
• Bridge business, medical, clinical, and technical teams by converting analytics outputs into clear narratives, decision frameworks, and implementation plans for stakeholders at all levels.
• Partner with IT, Data Engineering, Legal, Privacy, Compliance, Medical, and Clinical Operations stakeholders to ensure analytics products, AI/ML models, and data practices meet applicable privacy, security, scientific, regulatory, and ethical expectations.
• Champion responsible AI practices by promoting transparency, model explainability, bias awareness, human oversight, fit-for-purpose validation, and appropriate governance for AI-enabled decision support.
• Collaborate with internal teams and external vendors to deliver high-quality analytics solutions efficiently and with strong adoption across the organization.
• Serve as a thought leader in driving the creation, responsible adoption, and continuous evolution of advanced analytics, AI, and machine learning capabilities across Commercial, Medical Affairs, and Clinical Operations teams.
• Lead, mentor, and develop a high-performing team of data scientists, analysts, and analytics partners, while managing external resources as needed.
• Establish practical operating models, standards, and best practices that improve analytics quality, scalability, and speed to insight.
• Promote a culture of data-driven decision-making by increasing analytics literacy, building stakeholder confidence, and embedding insights into commercial planning, medical strategy, evidence generation, and clinical operations execution.
• Continuously identify opportunities to modernize tools, platforms, processes, and AI-enabled workflows that improve the impact, efficiency, and scalability of analytics delivery.
Qualifications:
Required:
• Bachelor’s degree required in a quantitative field such as biostatistics, statistics, mathematics, economics, data science, computer science, or a related discipline; Advanced degree preferred
• Bachelor’s degree in a required field with 12 + years of overall experience and 10 + years of experience in advanced analytics, data science, commercial analytics, medical analytics, clinical operations analytics, business analytics, or a related function within the pharmaceutical, biotech, healthcare, or life sciences sector.
• Demonstrated experience translating complex data and analytics into strategic recommendations for senior business stakeholders.
• Strong understanding of healthcare, medical, clinical, and commercial data sources, such as claims, prescription, specialty pharmacy, EHR, real-world data, clinical trial operations data, market access, and third-party syndicated datasets.
• Experience leading analytics initiatives that support commercial strategy, omnichannel engagement, patient journey insights, medical engagement, evidence generation, clinical trial feasibility, enrollment, site performance, customer targeting, segmentation, measurement, or predictive modeling.
• Proven ability to lead cross-functional initiatives and influence stakeholders across business, technology, data, legal, compliance, and vendor teams.
• Demonstrated ability to identify high-value AI opportunities, guide stakeholders through AI-enabled transformation, and translate emerging technologies into practical business, scientific, and operational applications.
• Bachelor’s degree in statistics, data science, economics, engineering, business analytics, computer science, or a related quantitative field, or equivalent practical experience.
Preferred:
• Advanced degree, such as a Master’s, MBA, or Ph.D., in a quantitative, scientific, technology, or business discipline.
• Experience with modern analytics, AI, and data platforms, such as cloud data warehouses, data science workbenches, business intelligence tools, SQL, Python, R, machine learning operations, generative AI tools, and AI/ML deployment approaches.
• Experience building or scaling analytics capabilities in a fast-paced, growth-oriented organization.
• Strong executive communication skills, including the ability to develop clear narratives, simplify complexity, and present insights to senior leadership.
• Familiarity with pharmaceutical data privacy, compliance, governance, responsible AI considerations, and the practical application of AI in regulated life sciences environments.
Company:
BeOne Medicines is a global oncology company that is discovering and developing innovative treatments for cancer patients worldwide. Founded in 2010, the company is headquartered in Klein-basel, CHE, with a team of 10001+ employees. The company is currently Late Stage.

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