ZipRecruiter

Log In

1

Head Of Data & Analytics Jobs (NOW HIRING)

Alternative Payments®

Head of Data

Manhattan, NY

What We're Looking For We're seeking a Head of Data to join our Operations team and own the ... Analytics & Self-Serve Insights * Move the organization beyond dashboards toward self-serve ...

Clubhouse

Head of Data

$250K - $315K/yr

S. The role As Head of Data at Alpha, you'll work closely with our CEO to help shape our strategy ... You don't do analyses that won't change the answer. You push PMs to do napkin math to justify their ...

Crosby

Head of Data

New York, NY · On-site

$220K - $300K/yr

Drive analytics and insights: Establish metrics, dashboards, and analytical frameworks to support product, business, and operational decision-making. * Lead and grow the team: Hire, mentor, and ...

The Ceres Group

Head of Data Management

Boston, MA · On-site

Head Of Data Management Reporting to the Chief Technology Officer, the Head of Data Management is ... This individual must possess excellent analytical and communication skills with the ability to ...

New

Alternative Payments

Head of Data

New York, NY · Remote

What We're Looking For We're seeking a Head of Data to join our Operations team and own the ... Analytics & Self-Serve Insights * Move the organization beyond dashboards toward self-serve ...

Alternative Payments

Head of Data

New York, NY · On-site

What We're Looking For We're seeking a Head of Data to join our Operations team and own the ... Analytics & Self-Serve Insights * Move the organization beyond dashboards toward self-serve ...

Scribe

Head of Data

San Francisco, CA · On-site +1

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 ...

Kikoff

Head of Data

San Francisco, CA · On-site

$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 ...

HappyCo

Head of Data

Charleston, WV · Remote

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 ...

next page

Showing results 1-20

All JobsHead Of Data & Analytics Jobs

Head Of Data Analytics information

See salary details

$33K

$81.5K

$140K

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

As of Jun 12, 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:
What job categories do people searching Head Of Data & Analytics jobs look for? The top searched job categories for Head Of Data & Analytics jobs are:
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

Alternative Payments®

Manhattan, NY

Other

PTO

Posted 20 days ago

Job description

Job description
Alternative Payments is building the financial operating system for SMBs, consolidating the disconnected tech stack that holds service-based businesses back. Starting with MSPs, we've spent five years perfecting accounts receivable, and we're now expanding into accounts payable, AI-powered analytics, and beyond. We're at an inflection point: closing the loop on money movement and laying the foundation for a platform that will reshape how service businesses operate financially.
We're growing fast, thinking big, and building a global team that wants to be part of something that lasts. We believe the best solutions come from diverse perspectives, deep collaboration, and a shared obsession with customer impact. If you're energized by real problems, real customers, and real impact, we want to hear from you!
What We're Looking For
We're seeking a Head of Data to join our Operations team and own the intelligence layer that sits across everything we build. Alternative Payments sits on a substantial and strategically valuable data asset, accounting data, payment data, and rich operational data from across the business.
This is a player-coach role. You will set the architecture vision and own the data roadmap, but you will also roll up your sleeves by reviewing and contributing to code, solving data quality issues, and working directly with the data engineering team.
This role is available to candidates eligible to work in the US, hybrid in New York.
What you'll do
A key challenge of this role is balancing reactive work (data quality, stakeholder requests, system syncs) against executing the longer-term data strategy. You will own:
Data Strategy & Infrastructure
  • Own the full data infrastructure and architecture: pipelines, data models, gold/silver/bronze layer design, and real-time vs. batch tradeoffs.
  • Develop a clear, actionable data strategy and own the process of getting buy-in across leadership, engineering, and product to execute it.
  • Bridge the gap between technical data engineering and business context, translating leadership's strategic questions into queryable, actionable data products.
  • Establish data governance, quality standards, and observability practices; ensure data lineage, security, and quality control are baked into the architecture, not added as an afterthought.
  • Lead complex data projects requiring entity resolution and enrichment at scale, using deterministic rules, fuzzy matching, and ML-based approaches to unify multi-source data
  • Prepare datasets and feature pipelines for machine learning workflows; prototype and implement predictive models that leverage unified datasets.
Analytics & Self-Serve Insights
  • Move the organization beyond dashboards toward self-serve analytics, insight generation, and data-driven recommendations that are accessible to humans, agents, and partners.
  • Own data across both product data (what users do in the platform) and operational data (Salesforce, Zendesk, internal tooling), ensuring both feed into a coherent intelligence layer.
  • Own the data product roadmap for external-facing analytics from scoping and architecture through to delivery, coordinating across data engineering and product to ship partner-facing features that surface clean, structured, and actionable insights.
  • This includes leading complex, cross-functional data projects end-to-end: defining requirements, driving alignment, and ensuring the underlying data layer is accurate, performant, and built for non-technical consumption at scale.
AI Collaboration
  • Ensure the right data is available, clean, and structured so the AI engineering function can build and ship AI features confidently.
  • Build toward a data layer that is AI-queryable: structure data so it can be consumed by agents, embedding models, and LLM-powered retrieval systems and find the right balance between unstructured and structured data.
  • Collaborate closely with the engineering and ops teams to ensure data architecture decisions are upstream-compatible with the company's AI product roadmap.
  • Stay close to the evolving AI landscape so you can be a credible thought partner to the teams building on top of your data platform.
What you'll bring
  • 8+ years of experience in data engineering, data architecture, analytics, or a closely related field, with at least 2 years in a senior leadership role.
  • Strong programming proficiency in Python and SQL. You can review and contribute to code, not just manage engineers who write it.
  • Deep technical fluency with data infrastructure end-to-end: from ingestion and pipeline design to serving layer and data model optimization.
  • Proven experience with ML-based data enrichment and large data sets, and entity resolution at a meaningful scale, you have real opinions about where deterministic approaches break down and where ML is required.
  • Fluency with AI data patterns: you understand what it means to structure data for retrieval-augmented generation, embedding search, and agent-based consumption.
  • Strong business context: comfortable in a leadership conversation about commercial strategy, not just a technical one about pipeline architecture.
  • A proactive mindset with the ability to drive projects independently in a high-ambiguity environment.
Nice to have
  • Experience at a fintech, payments, or data-rich vertical SaaS company; familiarity with PSA, accounting, or payments data is a strong plus.
  • Track record working across both product data (user behavior in a platform) and operational data (CRM, ticketing, internal tooling).
  • Familiarity with vector databases, embedding pipelines, or structured data prep for LLM-based retrieval.
  • Experience evaluating data assets for commercial or partner-facing applications.
  • Comfort working in fast-paced, start-up environments where the data strategy is still being defined.
What We Offer
  • Competitive salary tailored to your experience, skills, and expertise.
    • The base salary range for this role is $175k - $200k, plus equity. The range displayed on each job posting reflects the approximate total target compensation for the position. Within the range, individual pay is determined by factors including relevant skills, experience, education/training.
  • Equity opportunities so you can share in our growth and success.
  • Unlimited PTO and flexibility when you need it the most.
  • Yearly learning & development stipend to help you grow and do your best work.
Why Choose Alternative Payments?
At Alternative Payments, you'll do work that truly matters.
  • Own your impact: Lead meaningful, high-impact projects and collaborative initiatives that are shaping the future of FinTech and redefining how businesses get paid.
  • Collaborate: Work with a diverse, innovative team where every voice is heard and great ideas come from anywhere.
  • Grow with us: Your career journey is top of mind. We prioritize internal growth and give you the space to shape your path based on your goals - whether that's deepening your expertise in your domain or exploring something new.
  • Thrive in a supportive culture: As a scaling start-up, there's a lot to be done and initiative is key. We believe in shared learning, open communication, and building each other up. When one of us grows, we all do.
Our Values
  • Transparency & Honesty: We communicate openly and truthfully with partners, investors, and each other so everyone understands where we stand and where we're headed.
  • Resourcefulness & AI: We stay scrappy, find creative solutions, and make progress even when the path isn't obvious. We have a bias for action and seek out the information and resources necessary to make decisions and move quickly.
  • Partnership: We win and lose together. We collaborate with our partners, investors, and teammates to tackle big challenges and reach shared goals.
  • Revolutionary & Boldness: We challenge conventions, take calculated risks, and build better, stronger solutions that move our business and the industry forward.
  • Accountability: We take ownership of our decisions and results. We follow through on our commitments knowing our work directly impacts our partners, our team and our business.
Applying to Alternative Payments
We're looking for candidates who are ready to step in and make an impact from day one. We know that sometimes people hold back unless they meet every requirement, but if you're excited about the role, bring relevant experience, and are ready to contribute, we want to hear from you!
All resumes are reviewed by our small but mighty talent team. While we may use AI tools to help prioritize applications, real people are behind every resume review and hiring decision. We're also committed to an inclusive and accessible process. If you require reasonable accommodation during the hiring process, please let us know upon being selected to interview.

Apply