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Senior Data Strategy Jobs in California (NOW HIRING)

Knit Health

Senior Data Scientist

San Francisco, CA · On-site

$140K - $175K/yr

As a senior member of our growing data science team, you will lead the design, curation, and ... What you'll do Data Strategy, Analysis & Management * Frame, design, execute and interpret ML-based ...

ServiceTitan

Senior Manager, Data Strategy

Glendale, CA · On-site +1

As our Senior Manager, Data Strategy, you will: * Define , prioritize, and deliver the strategy, architecture and implementation of platforms and tools for enabling real-time, data-driven decision ...

Knit Health

Senior Data Scientist

San Francisco, CA · On-site

$140K - $175K/yr

As a senior member of our growing data science team, you will lead the design, curation, and ... What you'll do Data Strategy, Analysis & Management * Frame, design, execute and interpret ML-based ...

Wasserman Media

Project Manager, Data Strategy

Los Angeles, CA · On-site

$55.75 - $75.50/hr

The Data Strategy group is responsible for the data modernization of all data capabilities across ... senior leadership * Experience with project management tools (e.g., Jira, Asana, Monday.com, or ...

Teamwass

Project Manager, Data Strategy

Los Angeles, CA · On-site

$55.75 - $75.50/hr

The Data Strategy group is responsible for the data modernization of all data capabilities across ... senior leadership * Experience with project management tools (e.g., Jira, Asana, Monday.com, or ...

PIMCO

Data Strategy Lead

Newport Beach, CA · On-site

Partner with senior leaders across Technology, Analytics and PM to align data strategies with business objectives and firm-wide technology initiatives. Ensuring cost effective solutions. * Design and ...

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Senior Data Strategy information

What does a Senior Data Strategy professional do?

A Senior Data Strategy professional is responsible for developing and overseeing the implementation of data-driven strategies that support an organization's business objectives. They analyze large datasets, identify trends and opportunities, and collaborate with stakeholders to align data initiatives with company goals. Their work also involves ensuring data quality, governance, and compliance, as well as leveraging data to drive innovation and competitive advantage.

What are the key skills and qualifications needed to thrive as a Senior Data Strategy professional, and why are they important?

To thrive as a Senior Data Strategy professional, you need deep expertise in data analytics, business strategy, and data governance, often backed by a degree in a quantitative field and several years of relevant experience. Familiarity with analytics platforms (such as SQL, Python, and Tableau), data management frameworks, and certifications like Certified Data Management Professional (CDMP) are highly valuable. Strong communication, stakeholder management, and strategic thinking skills set top performers apart in this role. These skills are essential for aligning data initiatives with organizational goals and driving data-driven decision-making across the business.

How does a Senior Data Strategy professional typically collaborate with cross-functional teams to drive data initiatives?

As a Senior Data Strategy professional, you will frequently work with cross-functional teams, including data engineers, business analysts, product managers, and executives. Your main responsibility is to align data initiatives with business goals, so you will facilitate communication between technical and non-technical stakeholders, ensuring data solutions are both technically feasible and strategically valuable. This role often involves leading workshops, defining data governance frameworks, and setting priorities for data projects. Effective collaboration and influence are key, as you will help translate complex data insights into actionable strategies for different departments.

What is the difference between Senior Data Strategy vs Data Analyst?

AspectSenior Data StrategyData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data strategyBachelor's in Data, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentStrategic planning, cross-department collaboration, executive communicationData collection, cleaning, analysis, reporting
Employer & Industry UsageTech companies, consulting firms, large enterprisesRetail, finance, healthcare, and other sectors

While both roles involve working with data, Senior Data Strategy focuses on developing overarching data initiatives and aligning them with business goals, whereas Data Analysts primarily analyze data to generate reports and insights. The senior role requires strategic thinking and cross-functional collaboration, while Data Analysts focus on technical data processing and visualization.

What are the most commonly searched types of Data Strategy jobs in California? The most popular types of Data Strategy jobs in California are:
What are popular job titles related to Senior Data Strategy jobs in California? For Senior Data Strategy jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Data Strategy jobs in California look for? The top searched job categories for Senior Data Strategy jobs in California are:
What cities in California are hiring for Senior Data Strategy jobs? Cities in California with the most Senior Data Strategy job openings:
Senior Data Strategy jobs near you
Infographic showing various Senior Data Strategy job openings in California as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 13% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.
Senior Data Scientist

Senior Data Scientist

Knit Health

San Francisco, CA • On-site

$140K - $175K/yr

Other

Posted 12 days ago

Job description

Why this role

Knit Health is seeking an experienced and visionary Senior Data Scientist to help advance our next-generation clinical intelligence platform at a pivotal time in healthcare innovation. We now have an unprecedented window into how clinicians make decisions at the point of care-and your work will turn that information into actionable insights that improve outcomes for patients and providers alike.

As a senior member of our growing data science team, you will lead the design, curation, and analysis of complex, multi-system healthcare datasets-including EHR and claims data-powering our clinical foundation model. You'll also guide model evaluation and methodology, mentor junior data scientists, and collaborate closely with AI engineering and product teams in a dynamic, fast-paced environment. 

What you'll do 

Data Strategy, Analysis & Management

  • Frame, design, execute and interpret ML-based data analyses in response to specific healthcare use cases. 
  • Curate, clean, and integrate clinical datasets from multiple health systems to ensure high-quality inputs for model training and evaluation.
  • Partner with Data Engineering on the design and implementation of large-scale data processing pipelines using structured and unstructured data (EHR, claims, medical text, ECG, etc.).
  • Develop and maintain scalable data infrastructure, including database schemas and batch processing pipelines (e.g., Spark).
  • Oversee data governance, quality control, and documentation to ensure reproducibility and compliance.

Clinical Evaluation & Modeling

  • Develop and refine evaluation frameworks that assess how models capture and represent clinical reasoning.
  • Translate model outputs into clinically meaningful insights and metrics for diverse audiences.
    Collaborate with AI engineering to optimize models for performance, scalability, and real-world clinical relevance.

Leadership & Collaboration

  • Manage and mentor junior data scientists, fostering technical growth and best practices in modeling and analytics.
  • Partner with product and engineering teams to align data science goals with product strategy and customer needs.
  • Communicate complex technical concepts clearly to clinicians, stakeholders, and non-technical partners.
Minimum qualifications
  • Bachelor's or Master's degree in a quantitative field (e.g., mathematics, computer science, data science, statistics, or related discipline).
  • 3-7 years of experience in data science, analytics, or machine learning.
  • Demonstrated experience working with EHR data from multiple health systems and healthcare claims data.
  • Proficiency in Python, SQL, and R.
  • Hands-on experience with batch processing (e.g., Spark) and distributed data processing frameworks.
  • Strong understanding of distributed database management systems and data warehouses (e.g., Snowflake, Redshift, BigQuery).
  • Experience with machine learning methods, including deep learning, and associated pipelines (e.g., TensorFlow, PyTorch).
  • Strong communication skills with the ability to translate complex analyses into actionable insights for diverse audiences.
  • Proven track record of mentoring or managing junior team members.
Nice-to-haves
  • Experience developing evaluation frameworks for AI/ML models in healthcare.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and their data engineering services.
  • Knowledge of natural language processing (NLP) for medical text corpuses.
  • Prior work in a startup or high-growth environment.
Salary Range

Knit Health offers a competitive compensation package that includes base salary, equity, and opportunities for advancement. The starting salary range for the Senior Data Scientist is approximately $140,000 to $175,000 per year. 

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