The
Director, AI, Data, and Emerging Technology Advancement is a new leadership role within the Global Business Systems (herein referred to as "GBS") team and is responsible for building BAC (Baltimore Aircoil Company, Inc.)'s strategy, architecture, governance, and capability across two connected areas: the foundational data that the business runs on, and the AI, automation, and self-service analytics capabilities built on top of it. This person owns data strategy end to end - architecture, master data governance, tooling, and compliance - and uses that foundation to define how the business uses AI and Emerging Technology tools and self-service analytics safely and effectively.
This is a build role at the intersection of strategy and hands-on governance; accountable for getting the underlying data foundation right, then building the strategy, governance, and training that make safe, effective self-service AI and analytics possible on top of it.
PRINCIPAL ACCOUNTABILITIESData Foundation- Data Strategy: define the enterprise data strategy: what data matters most to the business, how it should be organized and governed, and how the strategy sequences over time as the company grows.
- Data Architecture: own the enterprise data architecture: how data flows between SAP, custom applications, the MarTech stack, and analytics platforms, in partnership with Enterprise Architecture.
- Master Data Governance: Stand up master data governance for the enterprise's critical data domains (e.g., customer, product, vendor, materials). Define parameters for ownership, stewardship, quality standards, and the processes that keep master data trustworthy as it moves through SAP and downstream systems.
- Data Quality & Lifecycle: drive the ongoing effort to identify and remediate legacy, unstructured, duplicate, and over-permissioned data across the enterprise, partnering with business data owners.
- Data Tooling & Platform: evaluate, select, and govern the enterprise's data platform and tooling to manage data quality, cataloging, master data management, and integration.
- Data Compliance & Privacy: own the data governance controls that keep the enterprise compliant with data privacy and retention obligations, including cross-border data handling where relevant to the company's global footprint; partner with legal and compliance on data policies and with security on enforcement.
AI, Automation, Emerging Technology & Self-Service- AI & Analytics Strategy: define the enterprise roadmap for self-service AI and analytics, including standard toolsets and guardrails, built on top of the data foundation strategy and tools.
- AI Governance: own the governance framework for AI use across the enterprise: acceptable use, data access boundaries, oversight of AI-surfaced content, security, and risk review for new AI use cases. Evaluate and deploy the tools that control what AI can see and surface, including restricted content discovery, M365 archive, SharePoint advanced management, and DLP.
- Automation: set the strategy and standards for process automation (RPA, workflow automation, low-code tools), self-service governance, monitoring, and maintenance.
- Self-Service Analytics: own the platform, standards, and support model for self-service analytics.
- Emerging Technology: own the evaluation and recommendation of emerging technologies to drive operational efficiency, enhance business effectiveness, and support digital transformation objectives
- Enablement & Training: build and deploy the training and change management program for self-service AI, automation, and analytics tools.
- Risk & Compliance Partnership: work with security, legal, and compliance to make sure AI, automation, and data use stay within regulatory and privacy obligations as the program scales.
- Center of Excellence: stand up a lightweight data & AI center of excellence with champions, standards, and a support model that scales with adoption.
- Cross-Functional Partnership: partner closely enterprise architecture, infrastructure, and security to allow the data, AI, and automation strategy to leverage and enhance existing platform investments.
NATURE AND SCOPEThe
Global Director, AI, Data, and Emerging Technology Advancement reports to the Global Vice President, Chief Digital & Information Officer and is a member of the IT leadership team. As part of the Global Business Systems organization, this role influences senior leaders across the enterprise and partners closely with regional business teams.
The role leads a globally dispersed team of approximately 6 to 10 professionals, including internal employees and contracted resources, and is expected to expand as the organization grows.
The role is accountable for the AI, Data, and Automation strategy, architecture, governance, and capability and owns the associated multi-year roadmap, operating and capital budget, tools ecosystem, and associated vendor relationships.
WHAT SUCCESS LOOKS LIKE IN THE FIRST YEAR- A documented enterprise data strategy and target-state data architecture, aligned with Enterprise Architecture.
- Master data governance stood up for at least one or two critical domains, with clear ownership and stewardship in place.
- A published AI governance framework and acceptable use policy deployed across the enterprise.
- Measurable reduction in stale, unstructured, duplicate, and over-permissioned data reachable by AI tools like Copilot and others.
- A self-service analytics platform and support model with real adoption, reducing the backlog of ad hoc reporting requests to IT.
- A training program with completion and usage metrics tracked.
- Several automation use cases delivered end-to-end, and plan to scale further.
KNOWLEDGE & SKILLS- 10+ years in data, analytics, or AI-related roles in enterprise IT, with 4+ years in a leadership role owning data strategy and governance, delivery and reporting.
- Direct experience building enterprise data strategy and architecture - able to make and defend decisions about how data should flow, be owned, and be governed across a multi-system landscape.
- Hands-on master data management (MDM) experience, designing governance for critical data domains (customer, product, vendor, materials, or similar) and standing up business stewardship models.
- Experience with Microsoft 365 Copilot (and other popular AI tools), governance and the surrounding data governance toolset (e.g., Purview, SharePoint Advanced Management, Restricted Content Discovery, or equivalents).
- Working knowledge of data privacy and compliance obligations relevant to a global manufacturer (e.g., GDPR and similar cross-border data regimes), and how to translate them into practical governance controls.
- Practical experience building a governance framework from scratch, including policy, standards, and training, in an organization without a mature data or AI governance function already in place.
- Experience with self-service BI/analytics platforms (e.g., Power BI, Tableau), data platform/MDM tooling (e.g., Purview, Informatica, SAP Master Data Governance), and process automation tools (e.g., Power Automate, UiPath).
- Experience with enterprise data platforms in an SAP environment is a plus.
- Manufacturing, industrial, or engineer-to-order environment experience is a plus.
- Comfortable operating as a builder in an evolving organization; someone who scales governance and tooling appropriate to the pace of the team adoption.
- A direct, clear communication style, able to explain data and AI risk and governance to executives and end users in practical terms.
WORKING CONDITIONSThe physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job. This position requires travel both domestically and internationally up to 30% of the time.
BAC Hiring Compensation Range $154,100- $264,000
BAC offers a comprehensive benefits package to include medical, dental, vision, paid time off, 401k, employee stock ownership plan, and more. Please see additional details on the BAC website at
BAC Employees are eligible to participate in an annual bonus incentive program.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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