Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Hillenbrand

Director of Business Intelligence

Hillenbrand

Director of Business Intelligence at Hillenbrand shaping data strategy and analytics to drive growth. Leading enterprise data initiatives in a collaborative cross-functional environment.

Posted 6/13/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies
AzureSQL

About the role

Key responsibilities & impact
  • Define and lead business intelligence strategy by aligning enterprise data, analytics, and reporting priorities with digital transformation goals and measurable business outcomes.
  • Guide data engineering and architecture by overseeing Azure Data Factory (ADF), Databricks, Azure SQL, Data Lake, and related platform capabilities to deliver secure, scalable, and reliable data solutions.
  • Build and standardize Power BI reporting by establishing dashboards, reports, semantic models, and workspace practices that support consistent metrics, self-service analytics, and effective data storytelling.
  • Strengthen data governance by partnering on data quality, lineage, metadata, stewardship, and access controls to improve trust, compliance, and usability across enterprise data assets.
  • Lead and develop multidisciplinary teams by setting clear priorities, supporting collaboration, and maintaining disciplined execution across data engineering, analytics, visualization, and project delivery work.
  • Manage business intelligence programs by maintaining roadmaps, tracking key performance indicators, resolving delivery risks, and coordinating internal teams and external partners toward meaningful results.
  • Partner with business and technology leaders by translating operational needs into practical analytics solutions that improve decision-making, performance visibility, and continuous improvement.

Requirements

What you’ll need
  • Bachelor’s degree in computer science, information systems, data analytics, or a related field
  • 10+ years of experience in business intelligence, analytics, data engineering, or related data-focused work, including 5+ years leading teams, programs, or enterprise initiatives.
  • Strong working knowledge of Azure Data Factory, Databricks, Azure SQL, and Microsoft Power BI in business-critical environments.
  • Experience building and supporting data pipelines, transformation workflows, data models, and reporting solutions that are scalable, secure, and reliable.
  • Working knowledge of data governance practices, including data quality, lineage, metadata, stewardship, and role-based access controls.
  • Ability to lead cross-functional work, prioritize effectively, and drive disciplined execution across multiple initiatives with sound judgment and accountability.
  • Strong communication skills, including the ability to explain technical concepts clearly, align stakeholders, and present progress, risks, and outcomes in a practical way.
  • Practical problem-solving skills, adaptability, and a continuous improvement mindset, with a collaborative approach that supports learning, consistency, and responsible decision-making.

Benefits

Comp & perks
  • EEO Employer
  • Reasonable accommodations for job seekers

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
business intelligencedata engineeringdata analyticsdata governancedata pipelinestransformation workflowsdata modelsreporting solutionsdata qualitymetadata
Soft Skills
leadershipcollaborationcommunicationproblem-solvingadaptabilityprioritizationjudgmentaccountabilitycontinuous improvementdiscipline
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in information systemsBachelor’s degree in data analytics