Director of Business Intelligence Jobs
Director of Business Intelligence jobs are open across technology, financial services, healthcare, and retail, from manager-level to VP and C-suite, with specializations in data strategy, enterprise analytics, and BI platform architecture. Find a role that fits below and apply directly.
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Location: Lakewood, CO, Onsite
Reports to: Director of Data & Systems Infrastructure
About the Role
We're looking for a Senior Business Intelligence Analyst to turn our data into trusted insights that support all areas of the business. You'll own the full path from modeled data to data-driven decision making: building dbt models, defining governed semantic models in Snowflake that both people and AI tools can rely on, delivering Power BI dashboards, and answering the ad-hoc questions that come up along the way.
This role sits at the intersection of analytics and data modeling. You'll work closely with business stakeholders to understand what they need, and with our data engineering team to make sure the underlying data is clean, documented, and consistent.
What You'll Do
Partner with the business
Consult with stakeholders to clarify what they need, define how success will be measured, and turn requirements into clear reporting and analysis plans.
Train and support end users so they can explore data on their own with confidence.
Spot opportunities to improve efficiency through analysis, and recommend new reporting solutions when you see a gap.
Build the foundation
Develop and maintain dbt models that turn raw data into clean, tested, well-documented datasets.
Create and maintain semantic models in Snowflake that define metrics, relationships, and business context clearly enough for AI tools to return accurate answers. Test them against real business questions and refine as needed.
Improve test coverage and pipeline monitoring to ensure our stakeholders always have accurate data.
Deliver insight
Build and maintain Power BI dashboards that put key metrics in front of the people who need them.
Use SQL to answer ad-hoc questions quickly and accurately, from one-off requests to deeper dives into trends and anomalies.
Interpret results in context and present findings in a way that influences decisions, including being upfront about limitations in the data.
Keep it trustworthy
Trace discrepancies back through the pipeline and work with data engineering to fix root causes.
Document metric definitions, models, and dashboards so the business uses data consistently.
What You'll Need
Bachelors degree in Math, Biostatistics, Engineering, or another data intensive field; Master’s preferred
8+ years of experience in business intelligence, analytics, or a related role.
Strong SQL skills (required), including CTEs, window functions, and query optimization on a cloud data warehouse.
Hands-on experience building and maintaining Power BI dashboards (required), including data modeling and DAX.
Experience with dimensional modeling concepts such as star schemas, facts, and dimensions.
Experience with dbt or a comparable transformation framework, or a strong foundation in SQL-based modeling and a willingness to learn quickly.
Familiarity with Snowflake or a similar cloud data warehouse.
Clear communication with non-technical audiences, including the ability to explain what the data can and can't tell us.
Attention to detail and a habit of validating results before sharing them.
Preferred
Experience working with healthcare data, with knowledge of population health and Accountable Care Organization (ACO) concepts such as quality measures, attribution, risk adjustment, and value-based care reporting.
Experience with ELT/ETL pipelines and how data flows from source systems into the warehouse.
Python for analysis, automation, or data manipulation.
Experience with Git-based workflows and version control for analytics code.
Exposure to semantic layers, metric definitions, or AI-assisted analytics tools.
How We'll Measure Success
Dashboards are accurate, adopted, and used regularly by their intended audience.
Key metrics are defined once and used consistently across reports and AI tools.
Ad-hoc requests are answered quickly, with results stakeholders trust.
- DBT models and semantic definitions are tested, documented, and easy for others to build on.
Compensation and Benefits
Bloom Healthcare offers a competitive compensation package commensurate with experience, including:
Comprehensive medical, dental, and vision insurance.
Employer-sponsored 401(k)
Generous paid time off, paid holidays, and CME/professional development allowance
Hybrid work flexibility (Lakewood-based role; some remote work available)
Equal Opportunity Employer
Bloom Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Bloom Healthcare only contacts through official channels using the @bloomhealthcare.com domain. We are aware of a fraudulent Gmail account impersonating our recruiting team and have reported it to Google.
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Location: Lakewood, CO, Onsite
Reports to: Director of Data & Systems Infrastructure
About the Role
We're looking for a Senior Business Intelligence Analyst to turn our data into trusted insights that support all areas of the business. You'll own the full path from modeled data to data-driven decision making: building dbt models, defining governed semantic models in Snowflake that both people and AI tools can rely on, delivering Power BI dashboards, and answering the ad-hoc questions that come up along the way.
This role sits at the intersection of analytics and data modeling. You'll work closely with business stakeholders to understand what they need, and with our data engineering team to make sure the underlying data is clean, documented, and consistent.
What You'll Do
Partner with the business
Consult with stakeholders to clarify what they need, define how success will be measured, and turn requirements into clear reporting and analysis plans.
Train and support end users so they can explore data on their own with confidence.
Spot opportunities to improve efficiency through analysis, and recommend new reporting solutions when you see a gap.
Build the foundation
Develop and maintain dbt models that turn raw data into clean, tested, well-documented datasets.
Create and maintain semantic models in Snowflake that define metrics, relationships, and business context clearly enough for AI tools to return accurate answers. Test them against real business questions and refine as needed.
Improve test coverage and pipeline monitoring to ensure our stakeholders always have accurate data.
Deliver insight
Build and maintain Power BI dashboards that put key metrics in front of the people who need them.
Use SQL to answer ad-hoc questions quickly and accurately, from one-off requests to deeper dives into trends and anomalies.
Interpret results in context and present findings in a way that influences decisions, including being upfront about limitations in the data.
Keep it trustworthy
Trace discrepancies back through the pipeline and work with data engineering to fix root causes.
Document metric definitions, models, and dashboards so the business uses data consistently.
What You'll Need
Bachelors degree in Math, Biostatistics, Engineering, or another data intensive field; Master’s preferred
8+ years of experience in business intelligence, analytics, or a related role.
Strong SQL skills (required), including CTEs, window functions, and query optimization on a cloud data warehouse.
Hands-on experience building and maintaining Power BI dashboards (required), including data modeling and DAX.
Experience with dimensional modeling concepts such as star schemas, facts, and dimensions.
Experience with dbt or a comparable transformation framework, or a strong foundation in SQL-based modeling and a willingness to learn quickly.
Familiarity with Snowflake or a similar cloud data warehouse.
Clear communication with non-technical audiences, including the ability to explain what the data can and can't tell us.
Attention to detail and a habit of validating results before sharing them.
Preferred
Experience working with healthcare data, with knowledge of population health and Accountable Care Organization (ACO) concepts such as quality measures, attribution, risk adjustment, and value-based care reporting.
Experience with ELT/ETL pipelines and how data flows from source systems into the warehouse.
Python for analysis, automation, or data manipulation.
Experience with Git-based workflows and version control for analytics code.
Exposure to semantic layers, metric definitions, or AI-assisted analytics tools.
How We'll Measure Success
Dashboards are accurate, adopted, and used regularly by their intended audience.
Key metrics are defined once and used consistently across reports and AI tools.
Ad-hoc requests are answered quickly, with results stakeholders trust.
- DBT models and semantic definitions are tested, documented, and easy for others to build on.
Compensation and Benefits
Bloom Healthcare offers a competitive compensation package commensurate with experience, including:
Comprehensive medical, dental, and vision insurance.
Employer-sponsored 401(k)
Generous paid time off, paid holidays, and CME/professional development allowance
Hybrid work flexibility (Lakewood-based role; some remote work available)
Equal Opportunity Employer
Bloom Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Bloom Healthcare only contacts through official channels using the @bloomhealthcare.com domain. We are aware of a fraudulent Gmail account impersonating our recruiting team and have reported it to Google.
BO6EgEqXF3
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Find JobsDirector of Business Intelligence Job Market
Who's Hiring
- Amazon39
- Amazon Web Services10
- Marine Credit Union9
- Navy Federal Credit Union8
- Sutter Health6
Top Industries Hiring
- Technology & Software22
- Manufacturing8
- Consulting & Professional Services8
- Education7
- Healthcare & Medical Services6
What Employers Look For
The qualifications that appear most often in director of business intelligence jobs.
- 7 or more years of experience in business intelligence, data analytics, or a related field
- Proficiency in at least one enterprise BI platform such as Tableau, Power BI, or Looker
- Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Proven ability to lead and develop a team of analysts and BI engineers
- Bachelor's degree in computer science, information systems, statistics, or a related field
- Familiarity with data modeling, ETL pipelines, and modern data stack architecture
Tips for Your Director of Business Intelligence Job Search
Quantify the business impact you drove
Your resume needs to show what changed because of your work, not just what tools you managed. Replace lines like 'led BI team' with outcomes: cost savings identified, reporting cycle time reduced, or revenue opportunities surfaced through dashboards.
Align your stack to the job posting
Director-level postings often list a primary BI platform, whether Power BI, Tableau, Looker, or Qlik, alongside a cloud data warehouse. Mirror the exact tool names from the posting in your resume's skills section so automated screening doesn't filter you out early.
Target companies at a BI maturity inflection point
Organizations building their first enterprise BI function or migrating from legacy reporting to self-service analytics hire directors at a different urgency than mature teams. Look for postings that mention 'building from the ground up' or 'modernizing our data infrastructure.'
Apply early to roles that fit
Migrate Mate lists director of business intelligence openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a data governance case study
Interviewers for director roles consistently probe how you handle data quality, access controls, and cross-functional alignment on definitions. Walk in with a specific example of a governance initiative you owned, what broke before it, and what measurably improved after.
Negotiate scope before you negotiate compensation
Before accepting an offer, clarify whether the role owns the BI roadmap and headcount decisions or reports into a larger data organization with a separate engineering lead. That scope difference determines your actual influence and your path to a VP title.
Director of Business Intelligence Jobs: Frequently Asked Questions
Which companies are hiring the most director of business intelligences?
Amazon, Amazon Web Services, and Marine Credit Union are hiring the most director of business intelligences right now, with openings concentrated in California, Texas, and Florida, based on current listings on Migrate Mate as of November 2026. Industries with the highest volume of postings include financial services, healthcare systems, and large-scale retailers investing in self-service analytics.
How many director of business intelligence jobs are remote?
About 77% of director of business intelligence openings are fully remote or hybrid as of November 2026, reflecting the data-focused nature of the role and its minimal dependency on physical location. Strategy-heavy and platform-architecture positions tend to offer the most remote flexibility, while roles requiring close collaboration with on-site operations or executive stakeholders are more likely to require in-office presence.
How do you become a director of business intelligence?
Most directors start as BI analysts or data engineers, then move into senior analyst or BI manager roles where they lead projects and mentor others. From there, demonstrating ownership of a full BI product, from requirements through stakeholder adoption, is what separates candidates ready for a director title. Earning a certification in a major BI platform or cloud data warehouse strengthens your profile for the transition.
Can you get hired as a director of business intelligence without direct leadership experience?
It's difficult but not impossible if you can show informal leadership at scale. Candidates who have led cross-functional analytics initiatives, defined data standards adopted organization-wide, or mentored junior analysts through major projects can make a credible case. Framing your resume around decisions you influenced and teams you coordinated, rather than headcount you managed, helps close the experience gap.
What does the director of business intelligence interview process look like?
The process typically runs three to five rounds. An initial screen with HR or a talent partner focuses on background and culture fit. A technical round covers your approach to data modeling, tool selection, and BI architecture. A leadership round with the VP of Data or a C-suite executive explores how you build teams and align analytics work to business priorities. A final presentation or case study is common at the director level.
Where can I find and apply to director of business intelligence jobs?
You can find and apply to director of business intelligence jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your background and apply directly to each listing.
See All 775+ Director of Business Intelligence Jobs
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