IBP Demand Data Product Owner

GE HEALTHCARE

3d•$120,000 - $180,000•Hybrid

About The Position

GE HealthCare is a leading global medical technology and digital solutions innovator. We enable clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications, and services. Operating at the center of an ecosystem working toward precision health, we are the center of healthcare transformation, working alongside our customers and partners. We are seeking an IBP (Integrated Business Planning) Demand Data Product Owner to join our Supply Chain Analytics & Data Governance team. This mid-level individual contributor role sits at the intersection of Integrated Business Planning, data governance, and advanced analytics. The successful candidate will own the IBP demand data domain end-to-end — driving data quality, defining standards, and building actionable analytics that power planning decisions across the enterprise. This is a hybrid analytics and governance role. You will both govern the data and build with it — developing Power BI dashboards, writing advanced SQL, and leveraging AI/ML capabilities to accelerate insights and decision-making.

Requirements

Bachelor's degree in Supply Chain Management, Data Science, Information Systems, Business Analytics, or a related quantitative field.
6+ years of professional experience in supply chain analytics, data governance, demand planning, or a directly related analytics discipline.
Advanced proficiency in SQL — complex, production-grade queries including window functions, CTEs, dynamic logic, and multi-source joins across large-scale data platforms.
Hands-on Power BI development experience — report and dashboard design, DAX, data modeling, and publishing to Power BI Service.
Demonstrated knowledge of data governance principles: data quality management, metadata standards, business glossaries, and data stewardship practices.
Strong cross-functional communication skills — able to translate complex data concepts for non-technical stakeholders and influence without authority.

Nice To Haves

Proficiency in Python for data manipulation, automation, and analytics (pandas, numpy, SQLAlchemy); ML libraries a strong plus.
Applied experience with artificial intelligence and machine learning — including hands-on development or deployment of predictive models, LLM/GenAI application development, and prompt engineering for enterprise supply chain workflows.
Experience with cloud data platforms such as AWS Redshift, Snowflake, or Azure Synapse.

Responsibilities

Own the IBP (Integrated Business Planning) Demand data domain within the enterprise data governance framework, serving as the subject matter expert for all demand-related data flowing through Kinaxis.
Establish and maintain data definitions, business glossaries, and calculation standards for IBP demand data elements (e.g., Forecast Accuracy, Net Requirements Attainment, Demand Bias).
Define, monitor, and enforce data quality KPIs and SLAs across the IBP demand data pipeline; conduct periodic proactive audits.
Collaborate with Data Stewards, COE Leads, Segments, and Regional teams to drive data accuracy, trustworthiness, and consistent adoption of certified data products.
Represent the IBP Demand domain in data governance committees; enforce governance policies in alignment with the enterprise framework.
Identify and resolve data quality issues through root cause analysis; implement preventative controls and process improvements.
Design, develop, and maintain Power BI dashboards and reports that translate IBP demand data into actionable insights for supply chain planning stakeholders.
Write advanced SQL to extract, transform, and validate demand data from enterprise data platforms (e.g., Redshift, data warehouse); build reusable query frameworks and data pipelines.
Partner with Supply Chain Analytics Product Owners to align reporting standards, KPI definitions, and data layer dependencies across the analytics ecosystem.
Leverage Python for data automation, statistical analysis, and exploratory data science — including forecast model validation, bias detection, and pipeline automation.
Apply AI and machine learning techniques to IBP demand analytics use cases: develop or evaluate ML models for demand forecasting enhancement, automate anomaly detection, and integrate LLM/GenAI tooling to accelerate insights delivery.
Build and manage a product roadmap for IBP demand data products in partnership with COE leaders and the Data Owner; prioritize features and enhancements against business value.
Translate business requirements into clear data product specifications; oversee delivery with IT partners, maintaining accountability for commitments.
Lead adoption efforts for certified data products: develop training plans, standard work documentation, and change management materials.
Communicate data product status, quality metrics, and roadmap updates to Director/VP-level leadership in a clear, executive-ready format.
Collaborate with the Central Digital Transformation team to align IBP demand data products with the enterprise digital product roadmap.