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Head Of Business Intelligence Jobs (NOW HIRING)

Tilt

Head of Business Intelligence

$180K - $220K/yr

Head of Business Intelligence We're hiring a leader to run Business Intelligence at Tilt end to end. BI at Tilt is a data modeling, metadata, and context-building function. We sit with teams across ...

Teneo

Head of Business Intelligence and Growth

New York, NY · On-site

$180K - $225K/yr

The firm has more than 1,800 employees located in 50+ offices around the world Description Teneo is seeking a highly strategic and commercially minded Head of Business Intelligence and Growth for our ...

Alivi

Director of Business Intelligence

Miami, FL · On-site

SUMMARY The Director of Business Intelligence is responsible for defining and executing the organization's enterprise data and analytics strategy to enable data-driven decision-making across all ...

Alivi Health

Director of Business Intelligence

Miami, FL · On-site

$190 - $230/hr

SUMMARY The Director of Business Intelligence is responsible for defining and executing the organization's enterprise data and analytics strategy to enable data-driven decision-making across all ...

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How much do head of business intelligence jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for head of business intelligence in the United States is $28.85, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $31.25 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a head of business intelligence?

To thrive as a Head of Business Intelligence, you need expertise in data analysis, business strategy, and leadership, typically supported by a degree in analytics, computer science, or a related field. Familiarity with BI tools like Tableau, Power BI, SQL, and data warehousing systems, along with experience in data governance, is essential. Exceptional communication, critical thinking, and stakeholder management skills help drive cross-functional collaboration and strategic decision-making. These competencies enable effective data-driven leadership, ensuring the organization gains actionable insights and maintains a competitive edge.

What are some common challenges faced by a head of business intelligence when implementing data-driven strategies across departments?

One of the main challenges a Head of Business Intelligence encounters is ensuring data consistency and quality across various departments, which may use different systems or processes. Aligning stakeholders on the importance of data-driven decision-making can also require significant change management and communication skills. Additionally, balancing quick business needs with the long-term development of scalable BI solutions often leads to prioritization challenges. Success in this role often depends on fostering strong collaboration with IT, data engineers, and business leaders to drive effective adoption of analytics.

What is the difference between Head Of Business Intelligence vs Business Intelligence Manager?

AspectHead Of Business IntelligenceBusiness Intelligence Manager
ResponsibilitiesOversees entire BI strategy, leads teams, aligns BI with business goalsManages BI projects, supervises analysts, implements reporting solutions
Required SkillsStrategic planning, leadership, advanced analyticsData analysis, reporting, project management
Experience & CertificationsTypically 8+ years, leadership experience, BI certifications5+ years, technical BI certifications often preferred
Work EnvironmentExecutive level, cross-departmental collaborationTeam management, technical environment

The Head Of Business Intelligence focuses on strategic leadership and aligning BI initiatives with overall business objectives, while the Business Intelligence Manager handles day-to-day project management and technical implementation. Both roles require strong analytical skills and industry experience, but the Head Of BI has a broader, more strategic scope.

Is a head of business intelligence a high paying job?

A Head of Business Intelligence typically earns a high salary due to the seniority and strategic importance of the role, which involves overseeing data analysis, reporting, and decision-making processes. Compensation varies by industry, location, and experience but generally includes a competitive base salary, bonuses, and benefits. Advanced skills in data tools and leadership are often required for this position.

What does a Head Of Business Intelligence do?

A Head of Business Intelligence leads the development and management of data analysis strategies to support business decision-making. They oversee data teams, implement BI tools and systems, and ensure data accuracy and accessibility to drive insights and strategic planning.

What is the hierarchy of head of business intelligence?

The hierarchy of a Head of Business Intelligence typically includes senior leadership roles such as Chief Data Officer or Chief Analytics Officer above them, with managers and analysts reporting to the head. The structure varies by organization but generally follows a chain from executive leadership to data teams responsible for strategy, analysis, and reporting.
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Head Of Business Intelligence jobs near you
Infographic showing various Head Of Business Intelligence job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $59,999 per year, or $28.8 per hour.

Head of Business Intelligence

Tilt

Remote

$180K - $220K/yr

Full-time

Posted 25 days ago

Job description

Join the Tilt team
At Tilt, we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit scores, using over 250 real-time financial signals to recognize real potential. With millions of customers worldwide, we're not just changing how people access financial products - we're creating a new credit system that backs the working, whatever they're working toward.
The Opportunity: Head of Business Intelligence
We're hiring a leader to run Business Intelligence at Tilt end to end.
BI at Tilt is a data modeling, metadata, and context-building function. We sit with teams across the business, learn how they approach their metrics and the questions they're trying to answer, look for commonality across teams, and build models that accurately describe our business. A growing part of the mandate is metadata management: every model and metric gets an AI- and human-readable description, and we maintain a living library of key metrics with reference SQL implementations the rest of the company can trust and build on. BI here is focused on models and tools, not on charts and dashboards.
You'll own the function day to day: a team of US and International BI Developers, the data models and semantic layer the business runs on, and the metric-and-metadata library that makes them trustworthy. You'll report to the Head of Business Acceleration and you'll run it.
This is a leadership role, but not a hands-off one. You stay close to the craft: you hold the team to a high bar and you understand the long-term impact of the decisions the team makes in the models. You have expert-level SQL, fluency with AI coding tools, and enough depth to read and review dbt work from a team of highly competent BI Developers - you review the work, you don't need to write it yourself.
The spike we're testing for is nimble judgment across a wide range of engaged stakeholders. You'll juggle a long, competing list of asks from across the business - and at Tilt that list moves fast, from a change in business priority to an acquisition. The job is knowing which asks actually need attention, which projects are drifting, and where the bar is slipping, then jumping in at the right moment without taking the work over.
In addition to our twice-yearly company onsites, travel to Asia is expected for this role 3-4x per year.
How You'll Make an Impact
  • Own the BI function end to end: the team, the roadmap, and the quality bar.
  • Own the reporting data models across the business: take each team's view seriously, find the commonality across them, and build shared models that accurately reflect the product or process.
  • Make metadata part of the product, not an afterthought: AI- and human-readable descriptions on every model and metric, plus a maintained library of key metrics and reference SQL implementations.
  • Give the whole company a consistent, accurate foundation - every team starting from the same trusted models and definitions instead of their own one-off pulls. BI doesn't run the analysis. It makes the numbers everyone analyzes trustworthy.
  • Prioritize across a long, shifting stakeholder list: what BI takes on, what it declines, and what needs your attention now.
  • Grow the team: raise the technical bar and their business fluency, stepping in when it matters and letting them run when it doesn't.
What the First 90 Days Look Like
  • By day 30: A working command of the stakeholder landscape, the existing models, and the team. You know who depends on what, how the models fit together, and where the biggest opportunities to build on a strong foundation sit.
  • By day 60: A prioritized view of where BI should spend its effort, with the highest-value modeling and metadata work identified and the team aligned behind it. You're already in the review loop and holding the bar.
  • By day 90: The team is shipping against clear priorities, the metric-and-metadata library is visibly moving, and teams across the business are starting from consistent, accurate models rather than one-off pulls.
Why You're a Great Fit
  • Proven experience. You bring 7+ years in data modeling, analytics engineering, or BI, including 3+ years of managing people directly.
  • Nimble judgment across engaged stakeholders. You can hold a long, shifting list of asks from teams who all want your attention, tell the most impactful from the rest, and know exactly where to focus. This is the trait we care about most.
  • Steps in without taking over. You jump in at the right moment on the right problem and then get back out - you don't micromanage, and you don't let things drift either.
  • Expert technical depth. Expert-level SQL, fluency with AI coding tools, and the ability to read and review dbt work from a team of highly competent BI Developers. You know dimensional modeling, semantic layers, and what makes a reporting model accurate and holds up over time. You hold that bar through review, not by taking the keyboard.
  • Business fluency. You can sit with a team, understand what they actually do and how they measure it, and translate that into shared models that serve them.
  • A point of view on metadata and context. You treat descriptions, definitions, and a trustworthy metric library as core output, not documentation debt - and you're interested in doing it in a way that's readable by both people and AI.
  • People leadership. You've managed analysts or analytics engineers, raised a team's bar, and can develop talent while keeping a team moving quickly without letting correctness slip.
Screening Questions
Quick yes/no self-check. If you can't answer yes to most of these, this probably isn't the right fit.
  1. Have you led a team of analysts or analytics engineers, owning both their output and their bar? (Yes / No)
  2. Do you hold a team's quality bar primarily through code review rather than by writing the work yourself? (Yes / No)
  3. Do you have expert-level SQL and hands-on depth in data modeling, dbt, and a modern warehouse? (Yes / No)
  4. Have you partnered with business stakeholders to build shared reporting data models? (Yes / No)
  5. Have you managed competing demands from many stakeholders that shifted with the business, and had to prioritize what gets attention and what doesn't? (Yes / No)
  6. Have you owned metric definitions, metadata, or a shared metric library as a deliverable in its own right? (Yes / No)

Don't meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you.
What you'll get at Tilt
  • Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You'll get started with a WFH office reimbursement.
  • Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity.
  • Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards.
  • Visibility is yours: You can count on direct exposure to our leadership team - we're a team where good ideas travel quickly.
  • Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We've visited Vail, San Diego, and Mexico City, to name a few.)
  • Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines.
The Tilt Way
We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable - brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the [virtual] office, you're helping millions of hardworking people reach better financial futures.
You're pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve.

Apply