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Vp Data Science Jobs in California (NOW HIRING)

VP of Product

San Francisco, CA · On-site

$250 - $350/hr

Work as a trusted partner to Engineering, Data Science, Biostatistics, Clinical Science, Business ... VP or Senior Director level with people‑leadership responsibility across multiple Product ...

New

By combining data, technology, and strategy, we deliver predictable and sustainable growth for our clients. As we continue to scale, we are seeking a high-impact Vice President (VP) to lead strategic ...

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Vp Data Science information

See California salary details

$41K

$140.6K

$198.4K

How much do vp data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for vp data science in California is $140,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,900.00 and $164,300.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science leads and manages the data science team within an organization, setting the strategic vision for how data is used to drive business decisions. They oversee the development and implementation of data-driven solutions, ensure data quality and integrity, and collaborate with other executives to align data initiatives with company goals. Additionally, they mentor data scientists, manage budgets, and stay updated on the latest trends and tools in data science to keep their teams competitive.

What are the key skills and qualifications needed to thrive as a VP of Data Science?

To thrive as a VP of Data Science, you need advanced expertise in statistical analysis, machine learning, and big data, usually supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization systems, as well as experience managing enterprise data architectures, is crucial. Exceptional leadership, strategic thinking, and communication skills set top candidates apart in this role. These abilities are essential for guiding teams, influencing business decisions, and driving impactful data-driven strategies across the organization.

How does a VP of Data Science typically collaborate with cross-functional teams to drive business outcomes?

A VP of Data Science frequently works with product managers, engineering teams, and business stakeholders to align data initiatives with organizational goals. They play a strategic role in translating business challenges into data-driven solutions, ensuring that data science projects support decision-making and growth. Effective collaboration involves regular meetings, clear communication of technical concepts to non-technical audiences, and fostering a culture of data literacy across the organization. By bridging technical expertise and business acumen, the VP helps maximize the impact of data science initiatives.

What is the difference between Vp Data Science vs Data Science Manager?

AspectVp Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsDegree in related field, experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project-focused, collaborative with data teams

The Vp Data Science typically holds a strategic, leadership role overseeing multiple teams and setting long-term data initiatives, while a Data Science Manager focuses on managing data projects and teams directly involved in execution. Both roles require strong technical backgrounds, but the Vp is more involved in high-level planning and organizational strategy.

What are the most commonly searched types of Data Science jobs in California?

The most popular types of Data Science jobs in California are:

What are popular job titles related to Vp Data Science jobs in California?

For Vp Data Science jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Vp Data Science jobs?

Cities in California with the most Vp Data Science job openings:

Infographic showing various Vp Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $140,595 per year, or $67.6 per hour.

Vice President, Enterprise Data Governance and Strategy

600 UMG Recordings Inc

Santa Monica, CA • On-site

$274 - $320/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

We are UMG, the Universal Music Group. We are the world’s leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world.

How You’ll Lead

The Vice President, Data Governance & Strategy is a senior executive leader responsible for defining and operationalizing a comprehensive enterprise data governance and data strategy across UMG. This role ensures that critical data assets—spanning music rights, royalties, digital consumption, fan engagement, e-commerce and merchandise (online and on‑tour), physical products, and artist development—are accurate, trusted, compliant, and strategically leveraged. Operating at the intersection of business strategy, technology, privacy, and partnerships, the VP champions a data‑driven culture and enables scalable, compliant data usage that fuels monetization, fan growth, and innovation in a rapidly evolving global music ecosystem.

How You’ll Create
  • Strategic Leadership Define and drive the enterprise data strategy to support business growth, monetization of music assets, and fan engagement.
  • Identify and assess new fan data sources and partnership opportunities aligned with the enterprise data strategy, accounting for label and regional differences.
  • Align data initiatives with music industry trends, business priorities, and evolving digital platforms, including streaming, social platforms, AI-enabled services, and emerging distribution models.
  • Partner with C-level executives and senior leaders across Legal, Finance, Marketing, Commercial, HR, and Technology to integrate data insights into strategic and operational decision-making.
  • Serve as a trusted executive advisor on data value, risk, and opportunity across the organization.
Data Governance

Develop and implement a robust, scalable data governance framework covering: Fan, CRM, and e-commerce data Digital consumption and DSP reporting Artist, repertoire, and product metadata Financial, royalty, and rights data.

Establish clear data ownership, stewardship, quality standards, and accountability models across business units and regions. Standardize data definitions and identifiers (e.g., ISRC, ISWC, IPI) to ensure consistency, transparency, and auditability across systems and partners. Ensure compliance with global music rights regulations, licensing requirements, and data privacy laws (e.g., GDPR, CCPA), in close partnership with Legal, Privacy, and Security teams.

Collaboration & Enablement

Work cross-functionally with legal, operations, analytics, product, and technology teams to operationalize governance standards through platforms, processes, and workflows. Promote data literacy, stewardship, and accountability across departments and business units. Lead organizational change to position data as a managed enterprise asset, enabling trusted insights and scalable innovation.

Technology, Innovation & Future-Readiness

Evaluate, select, and deploy enterprise data governance and cataloging technologies supporting discovery, classification, lineage, quality monitoring, and access controls. Drive automation and scalability in data ingestion, normalization, and reconciliation from digital platforms such as Spotify, Apple Music, YouTube, TikTok, and emerging channels.

AI Readiness, Responsible AI & Privacy by Design

Facilitate in establishing AI-ready data foundations, ensuring data used for advanced analytics, machine learning, and generative AI is accurate, well‑governed, traceable, and ethically sourced. Partner with Legal, Privacy, Security, and Technology teams to define and operationalize AI governance frameworks, including controls for data usage, consent, provenance, bias mitigation, explainability, and auditability. Embed privacy‑by‑design and privacy‑by‑default principles into AI‑enabled initiatives involving fan, artist, and partner data, ensuring compliance with global privacy regulations and contractual obligations.

Play an active role in defining policies and guardrails for the responsible use of generative AI across the music lifecycle, including metadata enrichment, rights identification, royalty processing, fan engagement, marketing optimization, and internal productivity tools. Assess and mitigate risks related to AI-driven data sharing, automated decision-making, synthetic data, and data leakage, while enabling innovation that supports monetization, efficiency, and trust. Stay informed on emerging technologies such as AI/ML, blockchain, smart contracts, NFTs, and next‑generation rights management, and evaluate their implications for music data governance, licensing, and revenue models.

Bring Your VIBE: Experience & Expertise

Bachelor’s degree in Information Systems, Data Science, Music Business, or a related field; Master’s degree or MBA preferred.

10+ years of progressive experience in data governance, data strategy, information management, or digital rights management—preferably within music, media, or entertainment.

Deep understanding of music rights, publishing, royalties, and global distribution models.

Strong familiarity with industry standards and ecosystems, including DDEX, ISRC, ISWC, IPI, and global licensing organizations.

Hands‑on experience with data governance, catalog, and rights/royalty platforms (e.g., Collibra, Informatica, SynchTank, Vistex, Revelator or similar).

Leadership & Influence

Proven ability to operate at the executive level, influencing across technical and non‑technical stakeholders. Track record of driving enterprise‑wide data transformation and cultural change.

Exceptional communication, storytelling, and stakeholder‑management skills.

Key Competencies
  • Visionary leadership at the intersection of data, music, and innovation
  • Strong grasp of digital music consumption, fan data, and data monetization models
  • Compliance‑minded, detail‑oriented, with a pragmatic business lens
  • Ability to align diverse teams and priorities in a complex, global organization
Perks Playlist
  • Comprehensive medical, dental, and vision coverage
  • Including 100% coverage for out‑patient in‑network mental health services
  • Fertility coverage for eligible medical plan participants
  • Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and so much more (up to $720/year)
  • Student Loan Repayment Assistance and Tuition Reimbursement
  • 401(k) with 100% immediate vesting on the first 5% of your contributions, plus an additional UMG contribution
  • Flexible Paid Time Off (PTO) for exempt employees
  • 3-weeks PTO for non‑exempt employees
  • 2‑weeks paid Winter Break
  • 10 Company Holidays (including Juneteenth and Wellbeing Day)
  • Summer Fridays (between Memorial Day and Labor Day)
  • Generous paid parental leave for every type of parent

Check out our full overview of benefits on the Perks Playlist page of the career site.

Disclaimer: This job description only provides an overview of job responsibilities that are subject to change.

Universal Music Group is an Equal Opportunity Employer.

We are an E-Verify employer in Alabama, Arizona, Georgia, Mississippi, North Carolina, South Carolina, Tennessee, and Utah. Please note, UMG is not enrolled in E-Verify in California and New York, and cannot support employment of candidates whose employer must enroll in E-Verify, for example candidates on STEM‑OPT. For more information, please click on the following links. E-Verify Participation Poster: English / Spanish E-Verify Right to Work Poster: English | Spanish

Job Category: Data, Analytics & Business Intelligence

Salary Range: $274,100 - $320,000 The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

All candidates are encouraged to apply. We are Universal Music Group, the world’s leading music company. We are the home for music’s greatest artists, innovators and entrepreneurs.

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