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.
Key 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
Preferred Experience & Qualifications- 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
- Familiarity with Purview or Unity Catalog a plus
- 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.
Required Skills: - 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:
- 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
- AI Strategy & Execution proficiency - including:
- 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
Schedule: Hybrid
Compensation: $115