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Head Of Data & Analytics Jobs (NOW HIRING)

About the Role As the Head of Data Enablement at Zekelman Industries, you will lead the ... Integrate data from ERP, CRM, MES, WMS, and other systems into a unified, trusted analytics ...

Head of Data Product Management

Nutley, NJ

$236K - $248K/yr

POSITION OVERVIEW The Head of Data Products plays a pivotal leadership role in advancing Ralph ... The brand is leveraging AI and analytics to improve inventory efficiency, enhance product ...

... Head of Data Platform that is fully remote. Why This Role Exists We operate a large-scale, multi ... Modern lakehouse and analytical storage patterns Streaming & Event Systems * Event-driven ...

The Head of Data Engineering is a strategic and technical leader responsible for building, scaling ... Collaborate with analytics, data science, product, IT, and business units to understand data ...

Head of Data & AI

Oakland, CA · Hybrid

$200K - $230K/yr

Position Summary: We're looking for a bold, visionary, and hands-on Head of Data & AI to architect ... Experience leading cross-functional collaboration between engineering, analytics, and business ...

About the Role Snorkel AI is hiring a Head of Data Quality to build and own the quality system at ... Strong analytical and problem-solving skills, including experience using data to measure ...

About the Role Snorkel AI is hiring a Head of Data Quality to build and own the quality system at ... Strong analytical and problem-solving skills, including experience using data to measure ...

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Head Of Data Analytics information

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$33K

$81.5K

$140K

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

As of Jun 13, 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.

More about Head Of Data Analytics jobs
What cities are hiring for Head Of Data & Analytics jobs? Cities with the most Head Of Data & Analytics job openings:
What states have the most Head Of Data & Analytics jobs? States with the most job openings for Head Of Data & Analytics jobs include:
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.
Global Head of Data Science, Analytics & AI

Global Head of Data Science, Analytics & AI

Wisdom Panel

Chicago, IL

Other

Medical, Dental, Retirement, PTO

Posted 12 days ago


Job description

Global Head Of Data Science, Analytics & Ai For Mars Snacking

The Global Head of Data Science, Analytics & AI for Mars Snacking is a pivotal senior leadership role, that will be joining at a time of transformation for the Segment, following the recent acquisition of Kellanova. We are seeking a visionary leader to shape and execute our segment's Analytics & AI strategy. Reporting to the SVP Chief Data & Analytics Officer, and a member of the CDAO leadership team, you will be instrumental in powering our strategic priorities delivering leading digital products and capabilities, developing the governance & frameworks for how we lead in this space, and building a best-in-class team.

Mars Snacking is at the start of a hugely exciting journey, integrating two incredibly successful organizations with exciting and category leading brands. This position requires a leader who can innovate, excite, and help shape our future; ensuring data, analytics, and AI are core enablers of our growth across a newly expanded portfolio. As a key member of the CDAO leadership team, you will be responsible for co-creating a vision and strategy that will help steer the organisation through complexity and change, keeping a sharp focus on value creation and a winning culture.

What Are We Looking For?
  • Bachelor's degree required; Master's degree or PhD in a quantitative field such as Computer Science, Data Science, Statistics, or a related discipline preferred.
  • 12+ years of experience in the data and analytics space with at least 5 years in a senior leadership capacity managing large, technical teams.
  • Proven experience in Product Management, specifically within the AI, Data Science, and Machine Learning domains.
  • Strong stakeholder relationship management skills, with the ability to influence and collaborate with senior leaders across a large enterprise.
  • Deep technical knowledge in Machine Learning, Data Science, and Computational Science.
  • Demonstrated experience in AI strategy development and successful implementation.
  • Experience managing vendor and partner relationships to drive innovation and execution.
  • A strong understanding of User Experience (UX) principles in the context of AI and analytics products.
  • Solid experience in business case development and feasibility assessment for technical projects.
  • Ideally experience in a CPG or Retail environment.
  • Experience working across leading technology platforms including GCP Gemini, Databricks, Azure, etc.
What Will Be Your Key Responsibilities?
  • AI Strategy & Vision: Lead the development and application of the strategic vision for data science, analytics, and AI for the Snacking segment, partnering with functional, regional, and divisional leaders to deliver innovative and scalable solutions.
  • Team Leadership: Build, engage, and develop a high-performing global team of Data Science, Analytics & AI associates, establishing clear ways of working and accountabilities.
  • Stakeholder Management / Business Partnership: Be the strategic partner of choice for the segment regions, functions & divisions by deeply understanding the business needs, identifying opportunities for scale and providing innovative solutions and recommendations.
  • Deliver Business Value: Support the regions, functions and divisions on the delivery of our integration priorities with purpose and pace.
  • Operational Excellence O: Ensure operational excellence and accelerate quality growth through the creation of advanced analytics and AI capabilities, such as SRM (Strategic Revenue Management) and Perfect Store, Perfect Service agentic tools.
  • Capability & Governance: Establish a clear vision, strategy, and framework to ensure a consistent, scalable, and high-quality approach to Analytics & AI, ensuring value realization and adherence to governance and ethical practices.
  • Elevate AI Literacy: Act as an accelerator and champion for AI maturity growth across the segment, elevating capabilities and sponsoring valuable experimentation and scale.
  • Technology & Architecture: Contribute to the architectural direction for analytics technology solutions and partner with internal IT and external partners to maximize the value derived from our technology platforms.
  • Innovation & Research: Lead the research and evaluation of emerging skills, models, and market trends, bringing forward recommendations and solutions to achieve our long-term vision.
What Can You Expect From Mars?
  • Work with diverse and talented Associates, all guided by the Five Principles.
  • Join a purpose driven company, where we're striving to build the world we want tomorrow, today.
  • A strong focus on learning and development support from day one, including access to our in-house Mars University.
  • An industry competitive salary and benefits package, including company bonus.

The base pay range for this position at commencement of employment is between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to job-related knowledge, skills, and experience. The total compensation package for this position will include variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits. Details of participation in these benefit plans will be provided if an applicant receives an offer of employment.

The pay range shown is applicable to all US locations listed within the job posting: USD 252,000.00 - USD 346,500.00