Product Owner Portfolio Case Study

SAP S/4HANA
Innovation to Order

A proposed Product Owner approach for translating enterprise transformation strategy into prioritized, testable and business-focused SAP S/4HANA capabilities.

SAP S/4HANA Product Ownership Innovation to Order (I2O) Scaled Agile Framework (SAFe) Planning Interval (PI) Planning Jira New Product Introduction (NPI) User Acceptance Testing (UAT)
Portfolio Note: This is a proposed case study demonstrating how I would approach an SAP S/4HANA Product Owner role. It does not represent confidential information or completed work for Honeywell.
Company Understanding

What Does Honeywell Do?

In simple terms, Honeywell Technologies makes the hardware, software, sensors, control systems and process technologies that help buildings, factories and industrial operations run more automatically, safely and efficiently.

Simple Mental Model

Sense → Control → Automate → Optimize

A sensor detects what is happening → a control system decides what should happen → automation makes it happen → software and data help the business monitor and optimize the operation.

Core Products & Technologies

01

Building Automation

Technology that helps commercial buildings operate safely, comfortably and efficiently.

Examples:
  • Building management systems
  • Heating, Ventilation, and Air Conditioning (HVAC) controls
  • Fire detection systems
  • Security and access-control systems
  • Energy-management technology
Simple example: A temperature sensor detects that an office is too warm. The building control system can respond by adjusting the HVAC system.
02

Industrial Automation

Technology that helps factories, warehouses and industrial equipment monitor conditions and automate operations.

Examples:
  • Sensors
  • Switches
  • Industrial controls
  • Safety technologies
  • Automation equipment
Simple example: A sensor can detect temperature, pressure, position or another physical condition. A control system can then use that information to trigger an automated response.
03

Process Automation & Technology

Systems and technologies that help refineries, chemical facilities, manufacturers and energy operations control complex industrial processes.

Examples:
  • Process control systems
  • Industrial software
  • Monitoring systems
  • Automation platforms
  • Operational technology
04

Honeywell Forge

Honeywell Forge is an industrial software platform that connects operational information, equipment and data to help organizations understand performance and improve operations.

Simple explanation: Physical equipment generates operational data. Honeywell Forge helps organizations turn that data into visibility, insights and better operational decisions.
05

Universal Oil Products (UOP) Process Technologies

Honeywell UOP provides specialized technologies, equipment, catalysts and processes used in refining, petrochemicals, chemicals, fuels and energy production.

What does UOP mean? UOP originally stands for Universal Oil Products. Today, Honeywell UOP is the name used for Honeywell's process technology business.
Simple explanation: Honeywell does not only automate an industrial facility. Through UOP, it also provides technology used inside major industrial processes to help transform raw materials into fuels, chemicals and other products.
Connection to the Role

Why SAP S/4HANA Matters

Honeywell builds complex physical products and industrial technologies. Behind those products are materials, components, engineering changes, suppliers, manufacturing processes, financial transactions and enterprise data. Enterprise Resource Planning (ERP) technology helps connect those business processes.

01

Product Data

Products require accurate material, engineering and manufacturing information.

02

Materials

Components need to be sourced, planned, purchased, tracked and available.

03

Manufacturing

Engineering definitions must eventually become something factories can consistently build.

04

Enterprise Scale

Standardized processes and data help complex operations execute consistently across the organization.

My Connection

SAP S/4HANA becomes part of the enterprise backbone.

What interests me about this role is the connection between innovation and execution. Honeywell can design innovative products, but those products eventually require accurate materials, Bills of Materials, suppliers, manufacturing information and standardized enterprise processes. As Product Owner, my role would be to help translate those business needs into prioritized SAP S/4HANA capabilities that the Agile team can deliver.

Value Stream

Understanding Innovation to Order (I2O)

Innovation to Order (I2O) connects product innovation and engineering with the enterprise information and processes required to make a product ready for manufacturing and operational execution.

1. Innovation / Business Need
Identify the customer, market, engineering or business need.
2. Product & Engineering Definition
Define product requirements, specifications and product structure.
3. Material Master & Product Data
Establish the enterprise data required to represent the product and its components.
4. Bill of Materials (BOM)
Define the components and quantities required to build the product. Think of the BOM as the product's recipe.
5. Engineering Change Control
Manage changes to designs, components and specifications through controlled approvals and traceability.
6. Material & Supply Readiness
Ensure required components can be sourced, purchased and made available when needed.
7. Manufacturing Readiness
Confirm product data, components, processes and operational requirements are ready for manufacturing.
8. Order / Production Execution
Move the approved product definition into operational execution.
Product Ownership

My Product Owner Operating Model

My responsibility is to create the bridge between business strategy, Subject Matter Experts (SMEs), process owners and technical execution.

01

Discover

Interview SMEs, users, process owners and technical teams. Understand current-state workflows, systems, dependencies and pain points.

02

Define

Translate business needs into features, user stories, requirements and measurable acceptance criteria.

03

Prioritize

Order work according to business value, urgency, risk, dependencies and delivery impact.

04

Validate

Review completed functionality, support User Acceptance Testing (UAT), accept stories and confirm that the intended business outcome was achieved.

Backlog Management

From Strategy to Team Backlog

One of my primary responsibilities would be converting product strategy into work an Agile team can understand, estimate, build, test and demonstrate.

LEVEL 1

Vision

Standardize and modernize the enterprise Innovation-to-Order process.

LEVEL 2

Feature

Improve creation and validation of material master data for New Product Introduction (NPI).

LEVEL 3

User Story

Enable a Product Engineer to create required material information using standardized fields and validation.

LEVEL 4

Acceptance Criteria

Validate required data, permissions, business rules, exceptions and downstream availability.

Example

Business Need → User Story

A Product Owner should be able to take a broad business problem and progressively translate it into something the delivery team can build and validate.

Sample User Story

Material Master Validation

As a Product Engineer,
I want required product and material information validated before submission,
so that incomplete or inaccurate master data does not create downstream manufacturing or procurement issues.

Example Acceptance Criteria
Given I am an authorized Product Engineer When I create a new material Then all required fields must be displayed And required fields must be completed before submission And invalid values must generate a clear validation message And successfully created material data must be available to authorized downstream processes And the transaction must maintain required audit information
Decision Making

How I Would Prioritize the Backlog

Not every request should automatically become the next user story. Prioritization requires understanding business value, delivery impact, risk, dependencies and urgency.

Business Value

Customer impact, operational efficiency, cost reduction, compliance and strategic alignment.

Delivery Impact

Dependencies, complexity, technical enablement, sequencing and team capacity.

Risk & Urgency

Production risk, regulatory requirements, defects, deadlines and blocked downstream capabilities.

Scaled Agile Delivery

Scaled Agile Framework (SAFe) & Planning Interval (PI) Planning

Within the Scaled Agile Framework (SAFe), Planning Interval (PI) Planning helps multiple Agile teams coordinate priorities, objectives, capacity, risks and dependencies for an upcoming delivery period.

Before PI Planning

  • Review product roadmap and program priorities
  • Understand upcoming features
  • Break features into team-level work
  • Refine high-priority user stories
  • Identify cross-team and system dependencies
  • Review risks and assumptions
  • Ensure sufficient backlog readiness

During PI Planning

  • Support feature decomposition
  • Clarify functional requirements
  • Align work with team capacity
  • Coordinate dependencies
  • Contribute to team PI Objectives
  • Surface risks early
  • Negotiate scope when necessary
Agile Release Train

Working Across an Agile Release Train (ART)

An Agile Release Train (ART) is a long-lived group of Agile teams working toward a shared product or solution mission. As Product Owner, I would collaborate with Product Management, other Product Owners, the Scrum Master, business process owners, functional experts and technical teams to manage dependencies and keep team execution aligned with broader program objectives.

Agile Execution

Sprint Delivery Loop

Refine

Prepare upcoming work

Plan

Align sprint goals

Clarify

Support development

Validate

Test against acceptance criteria

Accept

Confirm Definition of Done (DoD)

Learn

Improve the next cycle

Action Plan

My First 90 Days

My objective would not be to walk in and immediately redesign Honeywell's process. I would first learn the environment, transition into execution ownership, and then use delivery data and stakeholder feedback to identify opportunities for improvement.

Days 1–30

Learn & Map

Build the business, SAP and organizational context needed to make informed backlog decisions.


  • Meet the Product Manager
  • Meet the Scrum Master
  • Meet process owners and Subject Matter Experts (SMEs)
  • Meet SAP functional leads
  • Meet technical leads
  • Understand the Agile Release Train (ART)
  • Review the SAP S/4HANA roadmap
  • Review current Planning Interval (PI) Objectives
  • Review the Jira Team Backlog
  • Map the Innovation-to-Order (I2O) workflow
  • Understand major system integrations
  • Learn Material Master and Bill of Materials (BOM) processes
  • Review defects and business pain points
  • Understand the Definition of Ready (DoR)
  • Understand the Definition of Done (DoD)
Deliverables
  • Stakeholder map
  • Current-state process map
  • System and dependency map
  • Backlog health assessment
  • Pain-point inventory
Days 31–60

Execute & Own

Transition from learning the environment to actively owning Product Owner execution.


  • Own the assigned Team Backlog
  • Facilitate backlog refinement
  • Write and improve user stories
  • Define clear acceptance criteria
  • Prioritize with Product Management
  • Support sprint planning
  • Provide day-to-day requirement clarification
  • Track dependencies and blockers
  • Validate completed user stories
  • Support User Acceptance Testing (UAT)
  • Prepare upcoming PI work
  • Maintain future sprint readiness
Deliverables
  • Prioritized Team Backlog
  • Refined upcoming user stories
  • Dependency tracker
  • UAT and acceptance approach
  • Backlog readiness view
Days 61–90

Optimize & Add Value

Move beyond managing stories and begin improving how the team delivers business outcomes.


  • Analyze recurring process pain points
  • Improve backlog quality
  • Reduce requirement ambiguity
  • Improve dependency visibility
  • Identify process standardization opportunities
  • Identify manual process improvement opportunities
  • Analyze recurring defects and root causes
  • Measure delivery predictability
  • Improve stakeholder feedback loops
  • Contribute confidently to PI Planning
  • Recommend future backlog opportunities
  • Connect delivery metrics to business outcomes
Deliverables
  • Backlog health improvements
  • Process improvement recommendations
  • Key Performance Indicator (KPI) baseline
  • Prioritized improvement opportunities
  • Next-PI recommendations
Measurement

Key Performance Indicators (KPIs)

Story completion alone does not prove a transformation is successful. I would evaluate both Agile delivery health and measurable business outcomes.

Cycle Time

Time required to move priority work through delivery.

Backlog Readiness

Percentage of upcoming work meeting agreed readiness standards.

Defects

Escaped defects and recurring functional issues.

PI Predictability

Delivery against planned Planning Interval objectives.

Data Quality

Completeness, accuracy and consistency of critical product and material data.

Rework

Work repeated because of incomplete requirements, incorrect data or downstream issues.

Process Time

Time required to complete important business process steps.

Adoption

Successful usage of standardized SAP S/4HANA capabilities.

Product Leadership

How I Would Add Value

Business → Technology Translator

Understand the business problem first and translate it into requirements technical teams can execute without losing the original business intent.

Execution Discipline

Maintain a healthy, prioritized backlog and ensure upcoming work has enough clarity to support predictable delivery.

Stakeholder Alignment

Create a consistent feedback loop between Product Management, Subject Matter Experts, process owners, developers, testers and other Product Owners.

Outcome Focus

A user story reaching Done is not the final measure of success. I want to understand whether the delivered capability actually improved the underlying business process.

Market Understanding

Competitive Landscape

Honeywell operates across several industrial markets rather than competing against one single company. This reinforces the importance of innovation, product quality, operational efficiency and speed-to-market.

Building Automation

  • Johnson Controls
  • Schneider Electric
  • Siemens

Industrial Automation

  • Emerson
  • Rockwell Automation
  • Schneider Electric
  • Siemens
  • TE Connectivity

Process Technology

  • Emerson
  • Siemens
  • Flowserve
  • Topsoe
  • Clariant
Appendix

Interview Reference Guide

Supporting reference material covering Honeywell history, SAP S/4HANA, Innovation to Order, manufacturing concepts, Product Ownership and Scaled Agile Framework terminology. Specialized terms are written out before their acronyms to make the appendix useful as a study guide.

Appendix A

Honeywell History — Quick Reference

Year Milestone Why It Matters
1885 Albert Butz Albert Butz developed an early automatic furnace regulator, establishing roots in automatic control technology.
What is a furnace? A furnace is equipment used to heat a building. The early regulator helped automatically control heating rather than requiring constant manual adjustment.
1906 Honeywell Heating Specialty Company Mark Honeywell established a company focused on heating and control technology.
1927 Minneapolis-Honeywell Minneapolis Heat Regulator Company and Honeywell Heating Specialty Company combined.
1960s Aerospace & Space Technology Honeywell expanded its role in advanced aerospace, computing and control technologies.
1999 AlliedSignal + Honeywell AlliedSignal acquired Honeywell and retained the Honeywell name.
2019 Honeywell Forge Honeywell strengthened its focus on connected operations, industrial software, analytics and operational data.
2026 Honeywell Technologies Honeywell Technologies became a focused automation company following the separation of Honeywell Aerospace.
Appendix B

SAP S/4HANA & Innovation-to-Order Glossary

Searchable quick-reference definitions covering terminology across product, engineering, manufacturing, supply chain, integration and SAP.

Enterprise Resource Planning (ERP)

Enterprise software that connects major business functions such as manufacturing, procurement, inventory, finance, supply chain and sales.

Simple explanation: Instead of every department operating from completely separate systems, ERP helps connect business processes and data across the enterprise.
SAP

SAP is an enterprise software company whose systems help organizations manage business processes and enterprise data. The company name originated from the German phrase for Systems, Applications, and Products in Data Processing.

SAP S/4HANA

SAP's modern Enterprise Resource Planning platform, designed to connect enterprise processes such as finance, procurement, manufacturing, supply chain and master data.

Simple explanation: Think of SAP S/4HANA as a major digital backbone connecting many of the processes required to run a large enterprise.
High-Performance Analytic Appliance (HANA)

SAP's in-memory database technology underlying S/4HANA. It is designed to process large amounts of business data quickly.

SAP Fiori

SAP's role-based user experience and application design approach used to interact with SAP business processes. Fiori is a product name rather than an acronym.

Innovation to Order (I2O)

A value stream connecting product innovation and engineering to the enterprise information and processes required to manufacture and operationalize a product.

New Product Introduction (NPI)

The process of moving a newly designed product from development toward manufacturing and market readiness.

Master Data

Core enterprise information reused across multiple transactions and processes, such as materials, suppliers, customers and products.

Material

An item managed within SAP, such as a raw material, component, semi-finished item or finished product.

Material Master

The central SAP record containing information about a material used across procurement, inventory, manufacturing and other business processes.

Simple example: A sensor used in a Honeywell product could have a material number, description, unit of measure, procurement data, planning information and other attributes.
Bill of Materials (BOM)

The structured list of components and quantities required to build a product.

Think of it as: The recipe for the product.
Engineering Bill of Materials (EBOM)

The product structure representing how engineering designed the product.

Manufacturing Bill of Materials (MBOM)

The product structure organized around how the product will actually be manufactured.

Routing

The sequence of manufacturing operations or work steps required to produce a product.

Think of it as: The BOM tells us what we need. The routing tells us how we build it.
Work Center

The machine, production line, labor group or physical location where a manufacturing operation is performed.

Material Requirements Planning (MRP)

Planning logic used to determine what materials are required, how many are needed and when they are needed.

Think of it as: Do we have the parts needed to build what we plan to build, and if not, when do we need them?
Procurement

The business process used to obtain goods and services from suppliers.

Purchase Requisition (PR)

An internal request indicating that a material or service needs to be purchased.

Purchase Order (PO)

A formal order sent to a supplier requesting materials or services.

Context matters: In procurement, PO means Purchase Order. In an Agile delivery conversation, PO may mean Product Owner.
Inventory

Materials or products physically available within the organization or supply chain.

Production Order

An SAP object used to authorize and control production of a specified quantity of a product.

Engineering Change Management (ECM)

The controlled process for modifying product designs, components, specifications or structures while maintaining approvals and traceability.

Product Lifecycle Management (PLM)

Systems and processes used to manage product information from concept and engineering through manufacturing, maintenance and retirement.

SAP Production Planning (SAP PP)

SAP functionality supporting production planning, manufacturing requirements and execution.

SAP Materials Management (SAP MM)

SAP functionality supporting materials, procurement, inventory and related business processes.

SAP Sales and Distribution (SAP SD)

SAP functionality supporting sales orders, pricing, shipping and customer fulfillment.

SAP Financial Accounting (SAP FI)

SAP functionality supporting financial accounting, transactions and external financial reporting.

SAP Controlling (SAP CO)

SAP functionality supporting internal cost management, profitability analysis and management accounting.

Data Migration

Moving business data from legacy systems into a new environment such as SAP S/4HANA.

Data Quality

The completeness, accuracy, consistency, timeliness and usability of enterprise data.

Integration

A connection allowing systems or applications to exchange data and coordinate business processes.

Application Programming Interface (API)

A defined method allowing software systems to communicate and exchange information.

Simple explanation: An API is essentially a defined way for one application to request information or an action from another application.
Intermediate Document (IDoc)

A structured SAP message format commonly used to exchange business information between SAP and other systems.

Batch Processing

Processing transactions or data together at scheduled intervals rather than immediately.

Real-Time Integration

Exchanging and processing information immediately or near-immediately when a business event occurs.

User Acceptance Testing (UAT)

Business-user validation confirming that delivered functionality meets requirements and supports the intended business process.

Cutover

The coordinated activities required to transition from the old system or process to the new production solution.

Go-Live

The point when the new system or capability becomes available for production use.

Hypercare

A period of elevated support immediately following go-live to identify and resolve production issues quickly.

Universal Oil Products (UOP)

Universal Oil Products is the historical meaning behind UOP. Honeywell UOP provides process technologies, equipment, catalysts and related solutions used across refining, petrochemicals, fuels and energy.

Heating, Ventilation, and Air Conditioning (HVAC)

Systems used to heat, cool and ventilate buildings. Building automation technology can monitor and control HVAC equipment to improve comfort and efficiency.

Appendix C

Product Owner / Agile / Scaled Agile Framework Glossary

Product Owner (PO)

Owns and prioritizes the Team Backlog and provides day-to-day business and functional clarification to the Agile team.

Product Manager (PM)

Owns broader product strategy, roadmap and feature-level priorities and works with Product Owners to translate strategy into team execution.

Scaled Agile Framework (SAFe)

A framework for coordinating Agile delivery across multiple teams and larger enterprise initiatives.

Agile Release Train (ART)

A long-lived group of Agile teams working together toward a shared product or solution mission.

Planning Interval (PI)

A larger SAFe delivery timebox containing multiple iterations or sprints during which teams work toward agreed objectives.

Planning Interval Planning (PI Planning)

A collaborative planning event where teams align on priorities, objectives, capacity, risks and dependencies for the upcoming Planning Interval.

Team Backlog

The prioritized collection of user stories, defects and enablers owned by the Product Owner for the Agile team.

Feature

A larger piece of functionality or business value that can be decomposed into team-level user stories.

User Story

A small, testable description of functionality from the perspective of a user or stakeholder.

Acceptance Criteria (AC)

Specific conditions that must be satisfied for a user story to meet its expected business behavior.

Enabler

Technical, architectural, infrastructure or exploration work needed to support future business functionality.

Dependency

Work that relies on another team, system, capability or activity before it can be completed.

Definition of Ready (DoR)

Agreed criteria indicating that work contains enough information, clarity and preparation to enter development.

Definition of Done (DoD)

Agreed criteria defining what must be completed before work can be considered finished.

Backlog Refinement

Ongoing activity where upcoming work is clarified, decomposed, estimated and prepared for future delivery.

Iteration / Sprint

A short delivery cycle during which the team builds, tests and demonstrates working functionality.

Planning Interval Objective (PI Objective)

A concise statement describing the business or technical outcome a team intends to accomplish during the Planning Interval.

Business Value

The expected benefit delivered by a capability, such as revenue, efficiency, risk reduction, compliance or customer impact.

Key Performance Indicator (KPI)

A measurable value used to evaluate whether a process, product or team is achieving an important objective.

Subject Matter Expert (SME)

A person with deep knowledge of a specific business process, system, product or technical domain.

Summary

My Approach in One Sentence

Learn the Process → Understand Users → Map Dependencies → Build the Backlog → Deliver → Validate → Measure → Improve