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Senior Data Strategy Jobs in California (NOW HIRING)

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 ...

The Senior Data Scientist will partner across Service, R&D, Engineering, Quality, Regulatory, IT ... Define and execute a service data strategy aligned with Service Operations priorities and the ...

... 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 ...

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 ...

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 ...

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?

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 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:

Infographic showing various Senior Data Strategy job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Manager, Data Strategy

ServiceTitan

Glendale, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Company Description

About ServiceTitan

ServiceTitan is the world's leading and fastest-growing software technology platform for the trades, a trillion-dollar global industry. We help small business entrepreneurs run and grow their businesses. For more information about ServiceTitan, visit www.ServiceTitan.com.

Perks & Benefits

1. Work/Life Balance: flexible work schedule, flexible PTO
2. Family-Friendly Benefits: extended parental leave, pregnancy support, 20k in adoption reimbursement, Snoo Smart Sleeper, back-up childcare credits, legal benefit, discounted pet insurance
3. Enrichment: ongoing learning culture with access to Linkedin Learning and professional development workshops, diversity charter groups, orientation program, career pathing opportunities, mentorship programs
4. Health & Wellness: company-paid medical/vision/dental/life insurance/disability, employer HSA contribution, free One Medical membership, care coordination support, 401(k) with company match, stipend for home office equipment/supplies, gym discounts, monthly cell phone stipend

Equal Opportunity Employer

Job Description

The engineering organization at ServiceTitan is looking for a leader who will build the data strategy to support our growth now and in the future. The ideal candidate will have experience with architecture of big data platforms, understanding of data science, and have grown and managed engineering teams. Ideal candidates will meet most, if not all, of the following criteria.

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 making and customer insights across the ServiceTitan portfolio of products.
  • Establish a well-coordinated technology roadmap for data products, leveraging engineering in support of the broader company product and growth goals. The roadmap should deliver a mix of short-term wins and long-term capabilities for scale.
  • Design architectural frameworks for data entities, both internal and external, and develop data pipeline, storage, retention and integration methodologies including overall data governance.
  • Research and stay abreast of new technologies and industry trends. Incorporate new ideas that are well suited to advance the goals of ServiceTitan.
  • Hire, manage, grow and retain a high performance team that can meet both present and future needs by increasing and scaling data-driven decision making across the organization.
  • Partner with Data Science, IT, and other organizations to ensure effective reporting, dashboards, insights, analytics, and data-driven decision making are available to the business.
  • Ensure tools used are appropriate and suitable for the problem. Leverage AI/ML when necessary.
  • Ensure integration of data collection with data science requirements both for model development and real-time model execution.
  • Develop and implement solutions for data quality validation and continuous improvement.

To be successful in this role, you'll need:

Preferred Experience

  • AI & Machine Learning understanding
  • Infrastructure automation technologies like Docker and Kubernetes.
  • Event Driven Architecture
  • Experience developing architectures that process data at scale and low latency
  • Strong understanding of integration methods, APIs and services using REST.
  • Demonstrated ability to adapt to new technologies and learn quickly
  • Strong written and presentation communication skills

Preferred Technologies

  • Data warehousing and data modeling
  • Azure (Data Factory, Data Lake, SQL Data Warehouse
  • Microsoft Business Intelligence (Power BI)
  • Microsoft SQL Server, PostgreSQL
  • Data reporting and visualization
Additional Information

All your information will be kept confidential according to EEO guidelines.