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Enterprise Data & AI Strategy Manager

Installed Building Products

Columbus, Ohio

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JOB DETAILS
SKILLS
Access Control, Accounts Payable, Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Auditing, Automation, Cisco Unity, Cloud Computing, Communication Skills, Cross-Functional, Customer Relationship Management (CRM) Systems, Data Analysis, Data Management, Data Quality, Data Warehousing, Delivery Management, ERP (Enterprise Resource Planning), Establish Priorities, Information/Data Security (InfoSec), Internal Audit, Interpersonal Skills, Intuit Quickbooks, Leadership, Maintain Compliance, Microsoft Windows Azure, Presentation/Verbal Skills, Problem Solving Skills, Quality Assurance, Quality Management, Requirements Management, Risk Analysis, Risk Management, Salesforce.com, Snowflake Schema, Software Agents, Stewardship, Team Player, Technical Leadership, Testing, Traceability, Trend Analysis, Use Cases, Writing Skills
LOCATION
Columbus, Ohio
POSTED
10 days ago
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

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