Senior Manager IT - Deliver Manager

What you’ll do

The Order-to-Service (O2S) Delivery Manager leads the delivery team responsible for turning Eaton’s post-order data into a customer advantage. Reporting to the Commercial & Business Transformation Leader within AI & Data Management (AIDM), this role owns the trusted, digital thread from order through fulfillment, invoice and service — enabling self-service transparency, faster decisions, and scalable, AI-powered operations.

O2S is one of three delivery teams in the Commercial & Business Transformation office, alongside Market-to-Order (M2O) and Sector Delivery. The order is the seam between M2O and O2S: this leader owns everything from the moment an order is placed through the full service lifecycle. The Delivery Manager is accountable for building and running a high-performing, forward-deployed team of data and AI engineers;

delivering reusable Snowflake data products and AI capabilities; and partnering with the business to convert the O2S vision into measurable outcomes.

• Trusted data foundation — Harmonize priority ERP sources into reusable Snowflake data products for order header, order line, shipping/delivery and invoicing.
• Customer transparency — Power customer-facing portals and internal reporting with timely, trusted order-status, shipment and invoice visibility.
• AI-driven operations — Apply demand and backlog forecasting, cycle-time anomaly detection, and service-copilot patterns where the data is ready.

• Own end-to-end delivery of trusted O2S data products spanning orders, order lines, bookings, backlog, invoicing, shipping/delivery, fulfillment, service contracts, cases and POS.
• Harmonize priority ERP sources (e.g., SAP ECC / S4, Vista, GV) into reusable, well-modeled Snowflake data products.
• Establish the digital thread from order → fulfillment → invoice → service so customers and internal teams can see accurate order, shipment, invoice and service information with confidence.
• Modernize Power BI and reporting assets; power customer-facing portals (MyEaton Elevate) and internal self-service reporting.

• Shape and deliver the O2S AI pipeline: demand and backlog forecasting, cycle-time anomaly detection, and service-copilot patterns.
• Prioritize AI use cases where data is ready and grow AI coverage across the O2S value chain.
• Partner with the AI Architect on model/agent pattern selection, responsible-AI, evaluation, guardrails, reusable AI components and MLOps.

• Lead and grow a multidisciplinary team (~8):
  Solution Architect, Data Engineers (×4), AI Engineers (×2), Scrum Master and Product Owner.
• Build and run a forward-deployed engineering (FDE) model — engineers embedded with the business, fluent in both data and AI, shipping end-to-end from data → model → value.
• Recruit to open roles, cross-train data and AI engineers into blended FDEs, and run tiered upskilling on Snowflake, Azure and GenAI/agents.

• Run a single intake ("one front door") so business demand is logged, triaged and de-duplicated — never routed side-channel to a developer.
• Apply a value-over-effort (WSJF-style) prioritization model; protect the run-vs-transform balance and run quarterly capacity planning.
• Engage the Data Architect and AI Architect at the intake, design and scale gates for new patterns, platforms and cross-team dependencies.

• Serve as the single point of contact for the O2S stream and partner closely with the O2S Business Relationship Manager (Will Gunn) and business stakeholders.
• Align the 12–18 month O2S roadmap and Profit Plan / funding with BRMs and the EPM organization.
• Communicate outcomes — not activity — through an O2S value scorecard and KPI dashboard.

• Baseline KPIs before build; attribute and report value realized to sustain funding.
• Ensure security, data privacy and responsible-AI guardrails are built into design; partner early with Data & AI Governance and MDM for a single trusted view of customer and product data.

• Bachelor’s degree in…