Top 110 Big data python /java , databricks Jobs in Columbus

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Vice President, Data & Analytics

Hillenbrand Corporate
Columbus, OH

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Job Details

Full-time

Qualifications

Stakeholder management

Full 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 @[email protected] . 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".

Apply Now

Refine Your Search

big data python /java , databricks jobs in columbus

Vice President, Data & Analytics

AVP, Data Engineering and AI Innovation

Actuarial Associate, Excess Casualty Pricing and Modeling - REMOTE

Business Insights & Analytics, Director

Consumer Banking Data Scientist Director - American Dream

Senior Manager Data Lead

Business Banking Data Owner Senior Associate - Insurance

Director, General Liability Pricing Analytics - REMOTE

Business Banking Data Owner Lead - Insurance

Software Development Manager

Quant Analytics Associate Senior - Regulatory Operations

Fabric Architect

Sr. Manager Data Science

Senior Solution Architect, OptiFreight Logistics

MDM Architect

Banking & Wealth Management Resolution & Recovery Product Controller

Manager- Tax; Indirect Tax -Digital Enablement

Enterprise Architect

Lead Software Engineer - Ab Initio

Group AI Technical Specialist

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