Senior Manager IT - Delivery 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.

Key Capabilities:
 
•  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.

What you will need:

Data product delivery & the O2S digital thread
•  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.

AI-driven operations
•  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.

Team leadership & talent
•  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.

Operating model & delivery management
•  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.

Stakeholder engagement & business partnership
•  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.

Governance, value & reporting
•  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.

Education & Additional Information:

•  Bachelor’s degree in Computer Science, Information Systems, Data/Analytics, Engineering or a related field.
•  Progressive experience delivering enterprise data, analytics or BI products, including