Enterprise Data & AI Strategy Manager

Enterprise Data & AI Strategy Manager 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. Key Responsibilities Build strong relationships with cross‑functional partners, regularly communicating progress, insights, and alignment between data strategies and business goals. Operate successfully 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.) and 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 is 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. Implementing data standards practices and enforcement. Establishing clear data classification and access controls. Leading overall data stewardship including defining roles and responsibilities across the organization. Ensuring traceability, transparency, and consistency of enterprise data outputs. Enterprise Data Platform technical proficiency, including: Owning the Enterprise Data Roadmap, order and prioritization, dependencies, and timelines easily accessible by stakeholders. Creating & implementing framework to prioritize ingestion, transformation, and reporting of data sources. Retiring legacy systems and data transformation workflows and ensuring complete and accurate transition to new data environment. Overseeing testing and QA. Creating and monitoring the automation of alerts, logs, and Lakehouse availability reporting. AI Strategy & Execution proficiency, including: Systems‑based thinking and focus on value creation. Establishing Enterprise AI frameworks, approach, and guardrails. Translating enterprise AI strategy into executable use cases and initiatives. Assisting leadership to prioritize AI investments and manage delivery. Partnering with IT in testing and exploration in sandbox environments. Evaluating and mitigating risks associated with the use of ‘Shadow AI’ across the Enterprise. Schedule Hybrid Compensation $115k–$140k base + manager bonus Physical Demands Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions. The ability to lift light to moderate weight and engage in activities such as sitting for extended periods to complete computer tasks, as well as occasional lifting, standing, bending, or reaching, is required. Why we love it here At IBP, we invest in all of our employees. That means robust benefits (medical, dental, vision, short‑ and long‑term disability, accident, and critical illness, company‑paid life, and retirement plans), paid time off, and the IBP Foundation, which offers scholarships, emergency assistance, and volunteer matching for everyone in the IBP family. We pride ourselves on supporting our teammates’ quest for additional training and certifications outside of what we provide by paying for those opportunities. EEO Statement We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veterans. #J-18808-Ljbffr Installed Building Products