Enterprise Data & AI Strategy Manager

Join the IBP Team • Columbus, OH

1d • Hybrid

About The Position

IBP is seeking an Enterprise Data & AI Strategy Manager to accelerate our digital evolution. Reporting to the VP of Internal Audit, this role serves as a strategic connector—aligning business units, PMO, IT, and leadership to deliver scalable data solutions, AI‑enabled insights, and enterprise automation. You’ll play a pivotal role in modernizing our data environment and operationalizing AI across a decentralized organization.

Requirements

• 8+ years of experience in data, analytics, and enterprise transformation roles
• Demonstrable experience in creating & modernizing enterprise data reporting frameworks & supporting departments
• Experience working on hyperscalers (Azure, AWS) and with cloud data warehousing platforms (Fabric, Databricks, Snowflake etc.)
• Experience transitioning from a fragmented legacy data environment to cloud-based medallion architecture
• Experience with ERP, AP, and CRM systems (such as Sage 100, QuickBooks, Acumatica, MuleSoft, Salesforce)
• Experience with data governance frameworks
• Analytical & problem-solving abilities - strong analytical skills to identify trends, solve complex issues, and translate insights into actionable strategies
• Communication skills – strong verbal and written communication skills, with the ability to clearly convey complex data concepts to non-technical audiences
• Relationship building & business engagement – strong interpersonal skills to effectively collaborate with cross-functional teams, influence decision-making, and drive alignment/adoption of solutions across a decentralized branch network
• Data Governance development & adoption - including: Knowledge of data governance frameworks, data quality management, and compliance practices to ensure data integrity and security
• Implement data standards practices and enforcement
• Establish clear data classification and access controls
• Lead overall data stewardship including defining roles and responsibilities across the organization
• Ensure traceability, transparency, and consistency of enterprise data outputs
• Enterprise Data Platform technical proficiency – including:
• AI Strategy & Execution proficiency – including:

Nice To Haves

• Familiarity with Purview or Unity Catalog a plus

Responsibilities

• Build strong relationships with cross-functional partners, regularly communicating progress, insights, and alignment between data strategies and business goals
• Ability to operate in a highly decentralized environment
• Partner with IT, data stewards, and business unit leaders to define evolving data requirements
• Enforce data governance frameworks, standards, and policies to ensure consistency, compliance, and data integrity
• Monitor and promote data integrity across systems
• Support data remediation by leveraging AI-driven tools for gap-filling, correcting, matching, and auditing data, ensuring data quality and consistency across systems
• Create and scale intelligent autonomous agents that provide value-add, goal-driven automation experiences
• Enable and execute multi-agent workflows across systems, enhancing decision-making and workflow adaptability
• Strong preference for successful AI rollouts to production
• Support data remediation by leveraging AI-driven tools for gap-filling, correcting, matching, and auditing data, ensuring data quality and consistency across systems.
• Own the Enterprise Data Roadmap, order and prioritization, dependencies, and timelines easily accessible by stakeholders
• Create & implement framework to prioritize ingestion, transformation, and reporting of data sources
• Retire legacy systems and data transformation workflows and ensure complete and accurate transition to new data environment
• Oversee testing and QA
• Create and monitor the automation of alerts, logs, and Lakehouse availability reporting
• Systems-based thinking and focus on value creation
• Establish Enterprise AI frameworks, approach, and guardrails
• Translate enterprise AI strategy into executable use cases and initiatives
• Assist leadership to prioritize AI investments and manage delivery
• Partner with IT in testing and exploration in sandbox environments
• Evaluate and mitigate risks associated with the use of ‘Shadow AI’ across the Enterprise

Benefits

• medical, dental, vision, short- and long-term disability, accident, and critical illness, company-paid life, and retirement plans
• paid time off
• IBP Foundation, which offers scholarships, emergency assistance, and volunteer matching
• Support for additional training and certifications outside of what we provide by paying for those opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed