Head of Business Intelligence Competence Center

Hitachi, Ltd.

Kraków

Hybrid

PLN 500,000 - 900,000

Full time

6 days ago
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Job summary

Hitachi, Ltd. in Kraków seeks a senior leader to head the Enterprise BI Competence Center, driving scalable analytics, governance, and data platform excellence using Microsoft Fabric, Databricks, and Power BI.

You will partner with Data Strategy, Governance, and Cybersecurity to embed governance, ensure data quality, secure access, and enable trusted self‑service analytics across the organization. Leading a geographically distributed team, you will define standards, measure adoption, and

Qualifications

  • 15+ years of overall professional experience in analytics and BI.
  • Proven experience leading enterprise BI programs across geographies.
  • Strong knowledge of Microsoft Fabric, Azure, Databricks, and Power BI.

Responsibilities

  • Define and operate enterprise BI delivery standards, reporting patterns, visualization practices, semantic model guidance, and reusable analytics assets; own and mature Microsoft Fabric / EDP (Databricks) enablement standards relevant to analytics consumption and AI-ready data access.
  • Enable Business Units, Functions, and Federated Domains to consume data through governed analytics and BI capabilities; reduce duplication of dashboards, reports, datasets, and metrics through reusable enterprise patterns.
  • Enable AI/ML platform capabilities including MLOps pipelines, model serving (via Databricks / MLflow), and integration with AI agent frameworks; ensure AI-ready data access patterns are governed, traceable, and production-ready.

Skills

Leadership
BI strategy
Stakeholder mgmt
Analytics governance
Platform enablement

Tools

Microsoft Fabric
Databricks
Power BI
Azure

Job description

The Opportunity

Lead Hitachi Energy’s Business Intelligence Competence Center and drive enterprise-wide analytics excellence. You will enable scalable, trusted, and governed BI and data platform capabilities, including Microsoft Fabric, self-service analytics, and reusable reporting solutions. Working across business and technology teams, you will accelerate data-driven decision-making and maximize the value of analytics across the organization.


How you will make an impact:

  • Define and operate enterprise BI delivery standards, reporting patterns, visualization practices, semantic model guidance, and reusable analytics assets; own and mature Microsoft Fabric / EDP (Databricks) enablement standards relevant to analytics consumption and AI-ready data access.
  • Enable Business Units, Functions, and Federated Domains to consume data through governed analytics and BI capabilities; reduce duplication of dashboards, reports, datasets, and metrics through reusable enterprise patterns.
  • Enable AI/ML platform capabilities including MLOps pipelines, model serving (via Databricks / MLflow), and integration with AI agent frameworks; ensure AI-ready data access patterns are governed, traceable, and production-ready.
  • Partner with Data Strategy & Governance, Data Quality & Management, and Data Protection & Compliance to embed governance, quality, access controls, and auditability into analytics, platform, and self-service delivery; support AI Nexus and Digital Core through governed, reusable, and traceable data consumption patterns.
  • Define and monitor analytics adoption, platform usage, reporting quality, reuse, self-service maturity, and service effectiveness indicators; maintain visibility of technology trends, BI capabilities, and emerging analytics practices.
  • Ensure platform security, identity-based access management, and data protection compliance across Microsoft Fabric and Databricks; define and enforce platform-level security controls in collaboration with Cybersecurity, Data Protection, and IT.
  • Manage strategic technology vendor relationships including Microsoft and Databricks.
  • Contribute to FinOps practices for the analytics platform, including capacity planning, cloud cost transparency, chargeback modeling, and consumption optimization.
  • Lead and develop the team, ensuring clear accountabilities, resource allocation, performance management, and professional growth; promote a culture of reuse, governed self-service, analytics excellence, and measurable business value.
Your background:
  • Minimum15 yearsof overall professional experience, including at least10 yearsin analytics, business intelligence, data platform enablement, data engineering, or data product delivery in a complex global organization.
  • Proven experience leading enterprise BI, analytics, or data platform capabilities across multiple business domains, functions, and geographies.
  • Strong practical knowledge of Microsoft Fabric, Microsoft Azure, Power BI, enterprise data platforms, analytics engineering, reporting architecture, and data consumption patterns; proven experience defining BI standards, semantic models, reusable dashboards, and self-service analytics guardrails.
  • Strong understanding of platform operating models, data governance, data quality, data protection, access control, metadata, lineage, data products, and AI-ready data consumption.
  • Proven experience leading geographically distributed teams; experience preparing business cases, platform roadmaps, vendor assessments, RFPs, POCs, and cost-benefit analyses in an enterprise environment.
  • Excellent stakeholder management and communication skills.

More about us

We believe great work thrives in an environment where people feel genuinely supported and fairly rewarded. Our benefits are designed to create real value for every individual – fueling engagement, performance, and growth. By prioritizing well‑being, we build a workplace where personal and organizational success grow together.

Our benefit offering is tailored based on your country of employment and generally includes:

  • Competitive salary and incentives
  • Well-being and care
  • Paid and unpaid leave
  • Flexible work options
  • Benefits that support your financial security

You will receive more specific information during the recruitment process.


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