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Vice President Analytics Jobs in Ohio (NOW HIRING)

Hillenbrand

Vice President, Data & Analytics

Columbus, OH · On-site +1

$173K - $224K/yr

The Vice President, Data & Analytics provides executive leadership for the organization's data strategy, data governance, enterprise data warehouse, business intelligence, and AI initiatives - and is ...

Osaic

Vice President, Advisory Consulting

Columbus, OH · On-site

$140K - $175K/yr

The Vice President, Advisory Consulting is responsible for leading the field-based regional sales ... Use analytics to refine territory strategies and improve advisor penetration within regions.

Aep

Vice President of Finance

Columbus, OH · On-site

$221K - $287K/yr

The VP, Finance will be responsible for overseeing the FP&A, Business Operations, and other ancillary functions. This person will provide leadership to the Finance team in support of business and ...

Directions Credit Union

VP Finance

Toledo, OH · On-site

The Vice President of Finance is responsible for leading the credit union's financial planning and analysis function, including forecasting, budgeting, and strategic financial planning. This role ...

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Showing results 21-40

All JobsVice President Analytics JobsVice President Analytics Jobs in Ohio

Vice President Analytics information

See Ohio salary details

$41.4K

$149.8K

$263.8K

How much do vice president analytics jobs pay per year?

As of Sep 6, 2026, the average yearly pay for vice president analytics in Ohio is $149,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $180,600.00 per year, depending on experience, location, and employer.

What does a vice president of analytics do?

A Vice President of Analytics leads an organization's data analytics strategy and oversees teams that analyze data to support business decisions. This role involves managing data collection, ensuring data quality, and transforming data into actionable insights for various departments. The VP of Analytics collaborates with executives to align analytics initiatives with company goals and often plays a key role in digital transformation projects. They also supervise the development of analytical models, reporting tools, and dashboards that help drive business growth.

What are the key skills and qualifications needed to thrive as a vice president of analytics?

To thrive as a Vice President of Analytics, you need deep expertise in data analysis, business intelligence, and strategic decision-making, usually backed by an advanced degree in a quantitative field. Familiarity with analytics platforms such as Tableau, SQL, Python, and experience with big data tools and cloud systems are commonly required, along with certifications like Certified Analytics Professional (CAP). Strong leadership, communication, and stakeholder management skills set top performers apart in this role. These competencies drive data-driven strategies that enhance business growth and ensure effective team leadership and cross-functional collaboration.

How does a vice president of analytics typically collaborate with other departments to drive business strategy?

A Vice President of Analytics frequently partners with leaders from departments such as marketing, product development, finance, and operations to align data-driven insights with organizational goals. This role involves translating complex analytical findings into actionable strategies that support decision-making across the business. Regular cross-functional meetings, data workshops, and strategic planning sessions are common, ensuring analytics initiatives are embedded in the company's broader objectives. Effective communication and stakeholder management are key, as the VP of Analytics must bridge the gap between technical teams and executive leadership.

What is the difference between Vice President Analytics vs Director of Data Analytics?

AspectVice President AnalyticsDirector of Data Analytics
ResponsibilitiesStrategic leadership, setting analytics vision, overseeing multiple teamsManaging analytics projects, leading data teams, implementing analytics solutions
Required CredentialsAdvanced degree (MBA, Master’s), extensive experience in analytics leadershipBachelor’s or Master’s in Data Science, Analytics, or related field
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project execution, technical analysis
Industry UsageCommon in large organizations, corporate strategy rolesPrevalent in mid to large companies, analytics departments

The Vice President Analytics typically holds a higher strategic leadership role, overseeing the entire analytics function and aligning it with business goals. The Director of Data Analytics focuses more on managing analytics teams and executing data projects. Both roles require strong analytical credentials, but the VP role emphasizes strategic vision and executive decision-making.

What are the most commonly searched types of Analytics jobs in Ohio?

The most popular types of Analytics jobs in Ohio are:

What are popular job titles related to Vice President Analytics jobs in Ohio?

For Vice President Analytics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Vice President Analytics jobs in Ohio look for?

The top searched job categories for Vice President Analytics jobs in Ohio are:

What cities in Ohio are hiring for Vice President Analytics jobs?

Cities in Ohio with the most Vice President Analytics job openings:

Vice President Analytics jobs near you
Infographic showing various Vice President Analytics job openings in Ohio as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 74% Physical, 7% Hybrid, and 19% Remote job distribution, with an average salary of $149,765 per year, or $72 per hour.

Vice President, Data & Analytics

Hillenbrand

Columbus, OH • On-site, Remote

$173K - $224K/yr

Full-time

Posted 23 days ago

Hillenbrand rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

181st of 499 rated machine equipment manufacturers

Job description

The Vice President, Data & Analytics provides executive leadership for the organization's data strategy, data governance, enterprise data warehouse, business intelligence, and AI initiatives - and is a true player-coach: an executive who sets direction and builds the team while remaining hands-on in the platform working alongside the team they lead. This role ensures that data and AI are treated as strategic assets, enabling informed decision-making, operational excellence, and business growth.
Work You'll Do:
Leadership & strategy
  • Player-coach profile: leads a small, global team but personally engaged in deep technical work
  • Strong documentation and knowledge-management habits - data contracts, table docs, and query patterns as first-class deliverables
  • Vendor/platform cost management: compute governance, storage lifecycle policies, and experience managing the cost / value equation
  • Partner with business and enterprise stakeholders to align data initiatives with broader organizational priorities
  • Build, mentor, and retain a high-performing global team; set the operating model, hiring plan, and delivery priorities
  • Establish enterprise data governance and stewardship - data ownership, quality standards, and access policy - partnering with security, legal, and compliance

Hands-on lakehouse engineering
  • Expert-level Databricks (or similar technology): Delta Lake internals (MERGE/CDC patterns, OPTIMIZE, vacuum/retention, time travel), SQL warehouses, and workflow/job orchestration
  • Deep experience with medallion (bronze/silver/gold) architectures - efficicent load design, dedup strategy at ingestion, and grain/key discipline through each layer
  • Strong Unity Catalog governance skills: access model design, lineage, and system-table observability

Data architecture & modeling
  • Proven dimensional-modeling depth (Kimball-style facts/dims): define and enforce fact grain, conformed dimensions, and surrogate-key discipline
  • Multi-ERP integration experience (SAP, Dynamics, Navision, JDE/E1, IFS or similar)
  • CDC/replication architecture: choosing and implementing change-capture patterns that minimize storage and compute requirements

Assessment & redesign capability
  • Track record of leading a platform assessment and rationalization: data-quality profiling, source-to-target lineage reconstruction, and storage/compute cost reduction
  • Capability to develop and stand up a continuous data-quality framework: automated grain/duplication/reconciliation tests in the pipelines (e.g., dbt tests, Delta Live Tables expectations, or equivalent)
  • Financial reconciliation mindset: experience tying warehouse facts to reported financials (orders vs bookings vs GL) and documenting where they legitimately diverge
  • Pragmatic migration planning: can sequence a redesign while keeping certified models and executive dashboards live

AI & advanced analytics
  • Define and drive the AI/ML and generative-AI strategy: identify, prioritize, and sequence high-value use cases tied to measurable business outcomes
  • Stand up responsible-AI and model governance: evaluation, monitoring, data-privacy, and risk controls for both predictive and generative systems
  • Enable self-service analytics and citizen development through governed data products and a trusted semantic layer

Reporting:
Reporting to the Chief Enterprise Business Services Officer, the Vice President leads a team spanning data warehouse and AI, and partners with a much larger group of indirect stakeholders across the business.
Basic Qualifications:
  • Bachelor's degree in Data Science, Information Systems, Computer Science, or related field - or equivalent experience.

Preferred Qualifications:
  • 10 or more years of progressive experience in analytics, business intelligence, and data administration
  • Expertise in data governance, data architecture, BI platforms, and cloud data technologies,
  • Strong proficiency with data modeling and analytics methodologies
  • Strong executive communication and strategic planning skills
  • Demonstrated people-leadership: building, mentoring, and retaining technical teams while remaining hands-on in the platform
  • Experience setting AI/ML and analytics strategy and standing up data or AI governance at enterprise scale

Who we are:
Hillenbrand (www.hillenbrand.com) is a global industrial company that provides highly engineered, mission-critical processing equipment and solutions to customers in over 100 countries around the world. Our portfolio is composed of leading industrial brands that serve large, attractive end markets, including durable plastics, food, and recycling. Guided by our Purpose - Shape What Matters For Tomorrow™ - we pursue excellence, collaboration, and innovation to consistently shape solutions that best serve our associates, customers, communities, and other stakeholders.
EEO: The policy of Hillenbrand Inc. is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, Hillenbrand Inc. and our operating companies are committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us @recruitingaccommodations@hillenbrand.com . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. At Hillenbrand, everyone is welcome to apply and "Shape What Matters for Tomorrow".

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