Managing Director, Data & AI - Business Enablement; Kansas
Listed on 2026-02-10
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IT/Tech
Data Analyst, Data Science Manager
Description
Burns & McDonnell is a globally respected AEC firm delivering complex infrastructure, energy, industrial, and public-sector projects. The company operates entrepreneurially as 22 distinct business units. Leadership has prioritized an enterprise data strategy that preserves this agility while harmonizing shared project execution (80–90% consistent across units) to unlock operational excellence, client value, and new revenue opportunities through advanced analytics and AI.
RoleSummary
The Managing Director, Data & AI will define and execute an enterprise-wide data and information strategy that turns data into a durable competitive advantage. The role spans data governance, information management, master data management (MDM), analytics, and AI, embedding data‑driven decisioning across both project delivery (Professional Services/Engineering, Program Management, EPC) and corporate functions (Finance, HR, Legal, Risk Management, Supply Chain/Procurement, Marketing/BD, IT, HSE, and others).
This leader will harmonize common project‑execution data and processes across 22 business units while enabling flexibility where go‑to‑market approaches differ.
Project delivery plus corporate functions (Finance, HR, Legal, Risk, Supply Chain, Marketing/BD, IT, HSE, etc.).
Project FocusCreate a unified, governed, high‑quality data foundation; deploy analytics/AI to improve execution, reduce variance, increase win rates, accelerate cash flow, and enable new business models.
Key ResponsibilitiesStrategy & Operating Model
- Define a 3‑year enterprise data strategy and target operating model covering data architecture, governance, MDM, analytics/AI, and data culture.
- Balance enterprise standardization (shared execution data) with local agility (market‐specific pursuits) across 22 units.
- Build and manage a prioritization roadmap months) with value cases, milestones, and adoption metrics.
Governance, MDM & Information Management
- Stand up an enterprise data governance council, policies, standards, and stewardship roles.
- Implement MDM for key domains (Projects, Clients, Suppliers, Assets, People, Financials, Contracts, Risk).
- Establish data quality, lineage, and metadata practices; ensure a single source of truth for project and corporate data.
- Design scalable data platforms and pipelines (batch/real‑time) to support analytics and AI across business and corporate functions.
Analytics, AI & Value Creation
- Operationalize advanced analytics and AI (predictive/prescriptive insights, ML, GenAI where appropriate) in project execution and support functions.
- Prioritize high‑impact use cases; pursuit/win‑rate optimization, estimate accuracy, schedule & cost predictability, change‑order/claims analytics, safety & quality insights, resource optimization, working‑capital & cash‑flow acceleration, risk early warning, talent/workforce planning, and legal/contract intelligence.
- Embed insights into workflows and systems when appropriate (ERP, project controls, EPM, CRM, HRIS, EAM) to drive decisions, not just dashboards.
- Stand up a Data & AI Center of Excellence and community of practice across units.
Leadership, Culture & Change
- Hire and develop a multi‑disciplinary team (data engineering, platform, governance/MDM, data science/ML, analytics translators, product owners, etc.).
- Drive data literacy and change programs across project and corporate teams; communicate value transparently.
Risk, Security & Compliance
- Partner with Info Sec, Legal, and Risk to integrate privacy, security, compliance, and responsible AI into all data practices.
- Protect client and proprietary data across jurisdictions and contracts.
Investment & Partnerships
- Own the data & analytics budget; partner with IT to influence the vendor ecosystem (cloud, MDM, integration, analytics/AI).
- Evaluate emerging technologies and standards to maintain a future‑ready capability.
- Develop, manage, and execute a strategic business plan for the department.
- Identify, develop, and direct the implementation of business strategies,…
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