AIS ISC Digital & AI Capabilities, Director

GE HEALTHCARE • Krakow, Lesser Poland

1d • PLN 480,000 - PLN 660,000 • Hybrid

About The Position

The Director will lead AIS ISC Digital & AI Capabilities, the AI, analytics, and data organization within the AIS Integrated Supply Chain. This leader-of-leaders role oversees approximately 18 people, including Digital Leads, Product Owners, and Data Governance specialists, supporting five core supply chain processes: Market to Order, Forecast to Plan, Source to Pay, Plan to Produce, and Produce to Deliver.

The role owns the digital and analytics roadmap, governed KPI products, consistent data definitions, data governance, and trusted data foundations that enable business teams to self-serve analytics and AI solutions. A key priority is leading Heartbeat, a unified SQDC analytics product intended to replace more than 500 fragmented operational reports with a single drillable source of truth integrated into daily management systems. The Director leads the analytics and AI capabilities portfolio, including agentic AI, digital twin, predictive, simulation and optimization, and generative capabilities, while remaining technically credible and able to address complex analytics needs directly.

The Director develops leaders and organizational capability; establishes portfolio priorities and trade-offs; advances certified data products and self-service platforms; directs data governance and KPI arbitration; embeds analytics in operating processes; and partners with global process owners, business leadership, CDAO, Digital Core for Business, and Transformation Programs. The role is hybrid. Poland-based annual salary range is PLN 480,000–660,000. Performance bonus details are shared during offer discussions. Relocation assistance is not provided.

Requirements

• Bachelor’s degree in Supply Chain Management, Data Science, Information Systems, Business Analytics, Engineering, or a related quantitative field.
• More than 12 years of professional experience in analytics, data, or supply chain.
• At least 5 years leading analytics or data teams, including experience leading leaders such as managers or team leads.
• Hands-on SQL and modern BI skills, including independently pulling and transforming data, building analyses, and reviewing and challenging query logic, semantic models, and metric calculations across teams.
• Track record of owning an enterprise analytics portfolio and roadmap end to end, agreed with senior business stakeholders across functional boundaries.
• Experience establishing KPI hierarchies, definitions, and ownership models across functions and arbitrating metric disputes between domains.
• Working knowledge of data governance, including definitions, data quality management, stewardship, and metadata practices, and experience operationalizing governance through dedicated roles.
• Experience partnering with senior operational leadership in executive operating mechanisms and influencing without authority in a global, matrixed organization.

Nice To Haves

• Deep expertise in two or more supply chain process areas, such as logistics, manufacturing, sourcing, planning, or order execution.
• Applied enterprise experience with AI and machine learning, including LLM/GenAI, agentic tooling, and responsible AI practices.
• Experience with cloud data platforms such as Microsoft Fabric, AWS Redshift, Snowflake, or Azure Synapse, and enterprise systems such as Kinaxis, SAP, or Oracle Fusion.
• Experience consolidating fragmented reporting into certified data products, including retiring legacy reporting.
• Experience operating a hub-and-spoke or federated analytics model, including self-service data platforms, enablement programs, or communities of practice that scale capability beyond a central team.
• Lean/Six Sigma or equivalent process improvement background and familiarity with tiered daily management systems.

Responsibilities

• Lead and develop four Digital Leads and a Data Governance Lead, with accountability for organizational capability, performance, succession, and bench strength, including Product Owners and Data Stewards.
• Maintain quality standards for SQL, semantic models, and metric logic across the organization by reviewing and sampling work without becoming a bottleneck.
• Develop Digital Leads’ direct relationships with process owners and executives, building an organization that operates effectively without dependency on the Director.
• Own a single Capabilities roadmap spanning certified analytics and data products and AI capabilities, aligning pillar roadmaps with segment and regional priorities and Global Process Owners.
• Allocate capacity across pillars, arbitrate competing demand, explain trade-offs, and balance maintaining certified products with improving and building capabilities.
• Consolidate Heartbeat Bowler KPIs (L0–L4) into a certified source of truth connected to daily management systems.
• Deliver Factory Heartbeat as a unified PSQDC analytics product with a drillable dashboard, action tracking linked to problem solving, and real-time data; lead disciplined retirement of fragmented reporting.
• Advance Digital Framework maturity from Organized to Digitized to Connected for each process, using certified foundational data products as a gate and reporting maturity accurately.
• Own hub-level fundamentals including certified data products, agreed KPI definitions, approved data connectors, platform standards, and certification.
• Publish documented, discoverable, consumable certified products through Digital Compass and the data marketplace to enable business self-service.
• Define boundaries for experimental and self-built work versus production and executive use, and establish a path for prototypes to become hub-certified products.
• Scale data and AI fluency in business spokes through enablement, training, and communities of practice; prioritize platform adoption over consumption of the central team’s time.
• Direct data governance through the Data Governance Lead and Data Stewards, including documentation, validation, quality monitoring, correction of bad data, and publication of validated datasets to Digital Compass.
• Arbitrate KPI definitions and cross-pillar decomposition, ensuring every KPI has one agreed definition and a named accountable owner.
• Assign Data Owner roles to the most knowledgeable people within the Digital Lead and Product Owner group, following knowledge rather than hierarchy.
• Partner with CDAO on enterprise governance, the data platform, and the data marketplace.
• Integrate certified analytics into the operating model so daily management systems use governed data and the organization certifies the numbers behind standard work and standard bowlers.
• Operate a single digital intake for new process requirements raised in daily management systems, partnering with Transformation Programs on intake, scoring, stage gates, value tracking, and adoption cadence.
• Partner with Digital Core for Business on process taxonomy, standard work, master data operationalization, and PLM/ERP alignment.
• Maintain relationships with the five Global Process Owners and segment and region leadership, and represent Capabilities in executive operating mechanisms, including the Monthly Operating Review.
• Own the AI capabilities portfolio, including the agentic AI factory, digital twin, forecasting, simulation and optimization, and generative capabilities, with roadmap, certification, and ownership discipline.
• Ensure AI use cases are built on documented, validated, and published foundational datasets.
• Scale the AI factory hub-and-spoke model by certifying data connectors, agent standards, and ownership while enabling spokes to build agents and use cases.
• Advance capabilities from descriptive analytics through predictive, simulation and optimization, digital twin, generative, and agentic capabilities, with people retaining ownership of decisions.
• Embed AI-enabled ways of working in the Director’s organization and scale effective practices to the spokes.

Benefits

• Health and wellness coverage.
• Retirement and/or savings plans.
• Allowances or benefits supporting role requirements, such as mobility, transport, or a company car or allowance where applicable.
• Work-life balance support, such as flexible working and leave programs.
• Recognition and incentive programs aligned with performance and company success.
• Performance bonus; details to be shared during offer discussions.

What This Job Offers

• Job Type: Full-time
• Career Level: Director