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 12 fulfillment 12 invoice 12 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 12 model 12 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 (2one front door2) 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:
• Bachelor19s degree in Computer Science, Information Systems, Data/Analytics, Engineering or a related field.
• Progressive experience delivering enterprise data, analytics or BI products, including several years leading and developing teams.
• This role may be based in Beachwood, OH; or Moon Township, PA
• Relocation is offered for this position.
• Eaton will not consider applicants for employment immigration sponsorship or support for this position. This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap registration, O-1, E-3, TN status, I-485 job portability, etc.
All positions may require participation in video and in-person interviews as part of the hiring process. All candidates will be evaluated based on job-related competencies, and all candidates19 privacy rights and data security will be protected in accordance with applicable laws.
At Eaton, we strive to provide compensation and benefits that attract, engage, and retain the best talent. This includes competitive pay and a variety of benefit programs for eligible employees. The expected annual salary range for this role is $165000 - $242000 a year. This role is also eligible for a variable incentive program. Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.
We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
