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Head Of Data & Analytics Jobs (NOW HIRING)

Kikoff

Head of Data

San Francisco, CA

$398K - $486K/yr

About the Role As Head of Data, you will own the data strategy and execution across the ... Define and execute the data science roadmap across credit risk, growth, product analytics, and ...

Scribe

Head of Data

San Francisco, CA · On-site

We're looking for a leader to manage and scale the data analytics and data engineering teams, while ... About the role As the Head of Data, you'll lead and grow our Product Analytics and Data Engineering ...

HappyCo

Head of Data

As the company's most senior data leader, the Head of Data will design the architecture for HappyCo's data platform while also contributing directly to data modeling, analytics, and machine learning ...

Philo

Head of Data

San Francisco, CA

Modeling to analyze the impact of Quality of Experience events (e.g. rebuffering) on customer engagement and other business metrics. * Data infrastructure engineering work including data warehouse ...

Philo

Head of Data

San Francisco, CA

Modeling to analyze the impact of Quality of Experience events (e.g. rebuffering) on customer engagement and other business metrics. * Data infrastructure engineering work including data warehouse ...

Zap Energy

Head of Data

Everett, WA · On-site

$170K - $210K/yr

About the opportunity As Head of Data, you will own and evolve the data and AI infrastructure that ... Physics Analysis Workflows * Employ ML/AI algorithms to speed up scientific analysis from ...

Homesight Inc

As our Head of Data within this portfolio organization you'll be leading and developing best ... Partners ecosystem - an expansive team across product, engineering, design, analytics, marketing ...

Edward Jones

Principal, Head of Data

Saint Louis, MO · On-site

Opportunity Overview The Head of Data is a transformational enterprise leader responsible for ... Enable AI, advanced analytics, and real-time intelligence: Partner with Product, Technology and EJ ...

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Head Of Data Analytics information

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$81.5K

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How much do head of data & analytics jobs pay per year?

As of Jun 11, 2026, the average yearly pay for head of data & analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is the highest salary in data analytics?

The highest salaries in data analytics are typically for senior roles such as Director of Data or Chief Data Officer, which can exceed $200,000 annually, especially in large organizations or tech hubs. These roles often require extensive experience, advanced skills in data management and analytics tools, and sometimes certifications like Certified Analytics Professional (CAP).

What does a Head of Data & Analytics do?

A Head of Data & Analytics is responsible for overseeing an organization's data strategy, ensuring data collection, management, and analysis align with business goals. They lead data teams, develop analytics frameworks, and implement technologies to drive data-driven decision-making. Their role also includes ensuring data governance, compliance, and security while optimizing data insights to improve performance. Effective communication with stakeholders is crucial to translating analytics into business value.

What are the key skills and qualifications needed to thrive in the Head Of Data & Analytics position, and why are they important?

To thrive as a Head Of Data & Analytics, you need extensive experience in data management, analytics methodologies, strategic leadership, and a relevant advanced degree such as in data science, computer science, or statistics. Proficiency with data warehousing, business intelligence platforms, programming languages like Python or SQL, and certifications such as Certified Analytics Professional (CAP) or Google Data Analytics are commonly expected. Outstanding communication, stakeholder management, and team-building skills distinguish top candidates in this position. These capabilities are crucial for guiding data strategy, driving data-driven decision-making, and successfully leading multidisciplinary analytics teams.

What does a head of data analytics do?

A Head of Data & Analytics oversees the data strategy, manages data teams, and ensures the effective use of data to support business decisions. They analyze large datasets, develop data models, and implement analytics tools, often requiring skills in SQL, data visualization, and leadership. Their role involves aligning data initiatives with organizational goals and ensuring data quality and security.

How much does a head of data make?

The salary of a Head of Data & Analytics typically ranges from $120,000 to $200,000 annually, depending on experience, industry, and company size. Senior roles may include bonuses, stock options, and other benefits, and strong skills in data management, analytics tools, and leadership are often required.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often senior positions such as Chief Data Officer or Director of Data Science, which oversee data strategy and analytics teams. These roles typically require extensive experience, advanced skills in data management, and knowledge of tools like SQL, Python, or R, with salaries often exceeding six figures depending on the industry and location.

What are the typical daily responsibilities of a Head Of Data & Analytics?

A Head Of Data & Analytics typically leads a team of analysts and data scientists, overseeing data strategy, project execution, and the delivery of insights to support business objectives. Daily tasks often include setting priorities for data projects, reviewing analytics outputs, ensuring data quality, and collaborating closely with business leaders, IT teams, and other departments. The role also involves mentoring team members, presenting findings to executive stakeholders, and staying abreast of the latest advancements in analytics technologies. This dynamic environment demands both big-picture thinking and attention to operational details, making it both challenging and rewarding.

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Head Of Data Analytics jobs near you
Infographic showing various Head Of Data & Analytics job openings in the United States as of June 2026, with employment types broken down into 22% Full Time, and 78% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.
Head of Data

Head of Data

Kikoff

San Francisco, CA

$398K - $486K/yr

Other

Posted 18 days ago

Job description

Kikoff: The Fintech Powering Financial Security at Scale
Kikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security. With record revenue growth in 2025 and a unicorn valuation, we've built a suite of products that help millions of people build credit, access liquidity, and save money.
We're scaling fast. Join us if you want to build something meaningful and help millions of people move forward financially.
Why Kikoff:
This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact.
About the Role
As Head of Data, you will own the data strategy and execution across the organization. You will set the technical direction, build the management structure, and be a direct partner to senior leadership on the decisions that matter most to the business.
This is not a hands-off role. You will be close to the models, close to the data, and close to the business.
In This Role, You Will
Lead and Grow the Team
  • Manage, coach, and develop a team of 15+ data scientists and engineers, including direct reports who are themselves managing ICs
  • Own the hiring plan to grow the team to ~25 by end of year, including hiring and developing managers who can each own a sub-domain of the work
  • Set a high bar for technical rigor, ownership, and business impact across the team
Own the Data Science Strategy
  • Define and execute the data science roadmap across credit risk, growth, product analytics, and fraud
  • Own the full ML model lifecycle: scoping, development, validation, deployment, monitoring, and governance
  • Maintain best practices for experimentation design, causal inference, A/B testing, and statistical analysis across the company
  • Ensure data science output is production-grade, well-documented, and auditable.
Drive Business Impact
  • Translate complex business problems into actionable data science workstreams
  • Partner with Product, Engineering, Marketing, Risk, and Finance leadership as a peer - not a service function
  • Present findings and recommendations directly to executive leadership
Own the Data Foundation
  • Oversee data engineering and internal pipeline work that supports model development and analytics
  • Partner with Engineering to evolve the data infrastructure as the company scales
  • Drive data quality, reliability, and governance standards across the organization
You Have
  • 10+ years of experience in data science, applied ML, or product analytics - with substantial time in consumer-facing, data-intensive businesses
  • 7+ years leading data science teams, including direct experience managing managers - you have built an org that does not depend on you for every decision
  • Demonstrated experience scaling a data team through a growth phase: you have hired managers, and you know how to grow a team without losing quality or culture
  • Deep technical fluency in ML modeling, statistical inference, causal analysis, and experimentation - you can engage at the model level when it matters
  • A track record of translating data science work into product and business decisions that moved the needle at the executive level
  • The ability to make your team better every day: through clarity of goals, honest feedback, and building trust with strong practitioners
  • Strong command of Python or R, SQL, and modern cloud data platforms
  • Experience owning model governance and the full model lifecycle in a production environment
Nice to Have
  • Experience in consumer credit, risk underwriting, or fraud modeling
  • Familiarity with regulatory and model governance expectations in consumer lending
  • Experience with BI and data tools such as Metabase, Looker, dbt, Airflow, or Fivetran
  • Experience managing data engineering teams or working closely with data infrastructure
What We're Like
Scrappy. We move fast and build what we need, not what sounds impressive. We don't cut corners when they matter, and we don't over-engineer when they don't.
Risk-oriented. We make tradeoffs deliberately. A mature team knows the difference between a bet worth taking and one that isn't.
Data-obsessed. We all look at data, pull it, and believe that understanding the mechanics yields real insight. You will be surrounded by people who think this way.
Humble. We know this journey has required timing, circumstance, and the right people showing up. We are grateful, and we don't take it for granted.
Base Range
$398,000-$486,000 USD
Equal Employment Opportunity Statement
Kikoff Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Please reference the following for more information.

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