The Opportunity Lead Hitachi Energy’s Business Intelligence Competence Center and drive enterprise-wide analytics excellence.
Location: Bonn, Darmstadt or Berlin Your IT Future, Delivered With a global team of 5600+ IT professionals, DHL IT Services connects people
Build and maintain relationships with business stakeholders and frame business issues, value hypotheses and success metrics; translate initi
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Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Was Du bei uns machst Projekte verantworten: Kundenprojekte im Mittelstand führen, vom Kick-off bis zur Übergabe in den Betrieb Bewerten: Pr
Who We Are BeNeering was founded in 2007 by experienced SAP solution architects who had spent years working inside global corporations.
Automatisiert den digitalen Prüfungsservice der ETH per Schnittstellen, APIs und KI-Agentensysteme und leitet das zugehörige (Co-)Projekt.
Berät die Geschäftsführung zu Gesellschaftsrecht und M&A, überwacht den EU AI Act und erstellt interne Richtlinien für Generative KI.
Act as the R&D domain expert and solution architect for Aily App modules: - Internally: Translate R&D routines into product requirements and
Define the enterprise AI & Automation strategy by evaluating business priorities, transformation opportunities and technology developments a
Entwirft und verantwortet Compute-Infrastruktur für große KI- und ML-Systeme inkl. verteiltem Training, und führt Architekturentscheidungen und Teams.
Entwirft und betreibt GPU-Cluster und Deployment-Pipelines, bringt ML-Modelle in Produktion und überwacht deren Performance und Infrastrukturgesundheit.
Du entwickelst in abwechslungsreichen Projekten Machine-Learning- und GenAI-Lösungen für unsere Kunden, von LLM-Anwendungen und RAG-Systemen bis zu KI-Agenten.
Du entwickelst in abwechslungsreichen Projekten Machine-Learning- und GenAI-Lösungen für unsere Kunden, von LLM-Anwendungen und RAG-Systemen bis zu KI-Agenten.
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
As a Software Engineer, you develop MAIA further and help decide from the start how we solve problems.
As a Product Engineer, you own features from start to finish: from conversations with customers and concept work through to implementation a
As an AI Engineer, you develop MAIA further and help decide from the start how we solve problems.
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
Verantwortet Features einer GenAI-Plattform von Kundengespräch bis Produktion, baut Agenten-Workflows und misst deren Wirkung mit Evals.
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
Entwickelt die GenAI-Plattform MAIA weiter: Agentensysteme, RAG-Pipelines, Modellintegration und Evaluierung, vom Prototyp bis zur Produktion.
Konzeption und Umsetzung produktionsreifer GenAI- und Agentic-AI-Lösungen entlang des gesamten Entwicklungszyklus, von Architektur und Imple
Sie sind die technische Brücke zwischen Forschung, IT und KI-Technologie.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
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: - Minimum 15 years of overall professional experience, including at least 10 years in 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
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. Accessibility and reasonable accommodation Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website.
Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.
Use of Al and automated tools in recruitment As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi s Global Data Privacy Notice.
Background Screening and Security Checks As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws. For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.
The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.
Location: Krakow, Lesser Poland, Poland Job ID: R0143285 Date Posted: 2026-11-04 Company Name: HITACHI ENERGY SERVICES SP. Z O.O. Profession (Job Category): Data Analytics/Business Intelligence Job Schedule: Full time Remote: No
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