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• Description
• Position Summary
• Lead the enterprise Business Data Engagement function and the Portfolio Data Manager (PDM) model.

Reporting to the Managing Director, Data & AI, this leader is one of three Data & AI leadership pillars and the accountable owner of the Data & AI front door: shaping demand, strengthening executive sponsorship, connecting business priorities to delivery capacity, driving adoption, and ensuring realized value is walked back to business leadership. This is an internal-only role. It requires an established network, deep knowledge of how the Global Practices (GPs), Regions, and COR operate, and the credibility to influence senior business leaders from day one.

• Key Responsibilities
• Team & Business Relationships + Lead, coach, and performance-manage the three initial Portfolio Data Managers and establish common engagement, demand-shaping, adoption, and value-realization practices.

+ Build trusted relationships with GP, COR, and 1898 & Co. leaders and ensure each portfolio has a clear Data & AI engagement path.

+ Represent Data & AI in relevant business planning and portfolio discussions while operating through influence rather than direct authority over the GPs.

+ Coordinate the Data & AI front door with the Technical Solutions Group's (TSG) business-partner intake (Corporate Innovation) so business units experience one coherent path: technology solution requests route to TSG; data, analytics, and AI demand routes through the PDMs into the Shared Business Backlog, with cross-referral in both directions. Demand & Front Door

+ Ensure requests are framed as business problems with outcomes, executive sponsorship, committed SME capacity, adoption plans, and measurable value before significant delivery capacity is committed.

+ Own demand quality at the front door and work with the Director, Operating Model & Strategy to place qualified demand into the Shared Business Backlog.

+ Partner with the Director, Data Engineering & AI to match prioritized demand to feasible technical capacity and to manage business expectations transparently.

+ Identify common needs across portfolios and advocate reuse before local duplication. Adoption & Value

+ Drive business readiness, UAT sponsorship, change/adoption, and post-release use so solutions become part of business decisions and processes.

+ Walk delivery outcomes and Finance-validated value back to sponsors and portfolio leadership; use evidence to shape future demand. Data Management & Stewardship

+ Establish and enforce consistent data management practices across the PDM team (data definitions, ownership/stewardship, data quality standards, and lifecycle expectations) aligned with enterprise data governance policies.

+ Ensure business data entering the Data & AI delivery pipeline meets enterprise data quality, security, privacy, and compliance standards before delivery capacity is committed.

+ Partner with business data owners and stewards across GPs, COR, and 1898 & Co. to strengthen master/reference data consistency and to embed data stewardship and data literacy across the business. Stakeholder Influence

+ Operate as a trusted advisor to GP, COR, and 1898 & Co. executives, shaping priorities and investment decisions through credibility and evidence rather than positional authority.

+ Build and sustain active executive sponsorship for Data & AI investments, securing sponsor ownership, SME capacity, and adoption commitments before delivery begins.

+ Constructively challenge low-value, duplicative, or poorly framed demand while preserving trusted relationships with business leadership.

+ Hold self and the PDM team accountable for delivering on commitments made to the business and for walking Finance-validated value back to sponsors. What Success Looks Like (First 12 Months) +

Team:

Three PDMs in place and performing, with common engagement, demand-shaping, adoption, and value-realization practices in use. +

Engagement:

Every portfolio has a defined Data & AI engagement path and an executive sponsor relationship

+ Front door: All demand entering the Shared Business Backlog meets front-door criteria: business problem, outcomes, sponsor, committed SME capacity, adoption plan, and measurable value.\

+ One path: A single intake path with TSG operating, with cross-referral in both directions and no confusion for business units about where to go.

+ Adoption and value: Adoption and post-release use tracked for delivered solutions, and Finance-validated value walked back to sponsors for priority initiatives.

+ Data quality: Data definitions, stewardship, and quality standards applied to business data before delivery capacity is committed. Targets to be set with the Managing Director at the start of the role.

• Qualifications
• + Bachelor Degree in Information Technology, Computer Science, or related degree from an accredited program and 8 years relevant experience required or Associate Degree and 10 years relevant experience required or High School Diploma/GED and 12 years relevant experience required + Demonstrated ability to influence senior leaders, shape ambiguous demand, challenge priorities constructively, and build trust without direct authority.

+ Strong commercial and operational acumen; able to translate business problems into measurable outcomes and investment-ready use cases.

+ Experience with AI, analytics, and data modeling, including hands-on exposure to modern data and AI platforms such as Databricks, Azure, AWS, GCP, Palantir, and Azure AI Foundry.

+ Experience leading relationship managers, product owners, portfolio leads, business partners, or similar roles.

+ Strong communication, facilitation, change/adoption, and executive storytelling skills.

+ Proven stakeholder engagement and delivery leadership: able to build and sustain senior executive relationships across the enterprise and reliably deliver committed business outcomes end to end.

+ Proven ability to work directly with business customers in shaping value (defining outcomes, use cases, and success measures) and to deliver material, measurable impact to the business P&L by leveraging data.

+ Ability to deal with ambiguity: comfortable operating, deciding, and delivering in a fast-evolving environment.

+ Professional experience in business leadership, engineering/EPC operations, digital/data transformation, portfolio/product leadership, or a comparable business-facing role; meaningful leadership experience. This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled. EEO/Disabled/Veterans

• Job•Information Technology •Primary Location•US-MO-Kansas City •

Schedule:

• Full-time
• Travel:
• Yes, 5 % of the Time
• Req ID:
• 265198
• Job Hire Type
• Experienced #LI-DNI #COR N/A