Job
- Level
- Senior
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Job Field
- Product
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you define the product strategy for AI and analytics projects, develop implementation plans, collaborate closely with stakeholders and technical teams, and optimize data-driven solutions for business challenges.
Your role in the team
- Define, develop, and manage AI and advanced analytics products aligned with business objectives and customer needs.
- Partner with business stakeholders, data scientists, engineers, and IT teams to translate business requirements into actionable product requirements and scalable solutions.
- Own and maintain the AI product roadmap, prioritizing initiatives, features, and releases based on business value, customer impact, and technical feasibility.
- Leiten Sie den gesamten Lebenszyklus von KI- und Analyseprodukten, um eine erfolgreiche Bereitstellung, Akzeptanz und kontinuierliche Verbesserung sicherzustellen.
- Überwachen Sie die Governance-Prozesse für KI- und Analytics-Produkte, einschließlich Demand Management, Priorisierung, Genehmigungen und Ressourcenallokation.
- Design and implement processes that address business challenges, improve performance, and support the identification of new business opportunities.
- Optimize data capabilities, services, and operating models to ensure alignment with enterprise standards, business strategy, and best practices.
- Define, track, and report on key performance indicators (KPIs) to measure product performance, adoption, and business impact.
- Collaborate with Insights & Analytics and other cross-functional teams to maximize the value of data, analytics, and AI-driven outcomes.
- Gather, analyze, and prioritize requirements from a diverse range of business stakeholders.
- Build strong partnerships across business and IT functions to ensure alignment, engagement, and successful delivery of solutions.
- Manage stakeholder expectations and proactively identify opportunities to enhance business performance through AI, analytics, and data-driven insights.
- Communicate the value, benefits, and impact of AI, analytics, and data initiatives to technical and non-technical audiences.
- Partner with business leaders to develop strategies that leverage data and AI to drive improved decision-making and operational effectiveness.
- Manage multiple projects, priorities, and resources simultaneously to deliver successful outcomes.
- Foster a culture of data-driven decision-making, continuous improvement, and innovation across the organization.
- Monitor emerging trends, technologies, and best practices in AI, machine learning, analytics, and data management, identifying opportunities to enhance products and capabilities.
- Ensure close collaboration with Business Relationship Management, Shared Services, Integration, and other IT functions to support effective solution delivery.
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Our expectations of you
Education
- Bachelor's degree or higher in Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Mathematics, Business Administration, or a related field; equivalent experience will also be considered.
Qualifications
- Strong understanding of project management, service management, and risk management methodologies (e.g., PMI, Agile, ITIL, ITSM).
- In-depth knowledge of data analytics concepts, methodologies, and best practices.
- Starkes Verständnis dafür, wie Daten, Analytik und KI die Geschäftsstrategie ermöglichen und messbare Geschäftsergebnisse vorantreiben.
- Excellent analytical, problem-solving, quantitative, and critical-thinking skills.
- Strong written and verbal communication skills, with the ability to translate complex analyses into actionable business insights for both technical and non-technical audiences.
- Demonstrated ability to think strategically and conceptually while maintaining attention to detail.
- Strong stakeholder management and collaboration skills, with the ability to influence and achieve results through cross-functional teams.
- Results-oriented mindset with a proven ability to manage priorities, drive initiatives to completion, and deliver outcomes in a fast-paced environment.
- Flexible, proactive, and adaptable approach to changing business needs and priorities.
- Knowledge of business processes and data management principles, including master data concepts, is desirable.
Experience
- Minimum of 5 years of experience in IT, Business Intelligence, AI, Analytics, Product Management, or a related field.
- Experience with data querying, reporting, and analytics tools.
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What we offer
- Flexible working hours, remote work possible (up to 40%).
- 30 days of holidays per year.
- Modern office and an inspiring working environment.
- Mitarbeiterrestaurant mit Live-Cooking und gesunder Ernährung (bezuschusst).
- Public transport ticket (100% subsidized) or free parking space.
- Company sports groups and an in-house company gym.
- Employee Assistance Program to support your health, mental and emotional well-being.
- A comprehensive company pension scheme.
- Company medical officer and vaccination offers.
- Childcare through our 'Buttje&Deern' partner.
- Firmenwagen, auch zur privaten Nutzung (nur für Außendienstmitarbeiter).
- Bike leasing.
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Benefits
Work-Life-Integration
- 🏠Home Office
- 🚌Excellent Traffic Connections
- 🅿️Employee Parking Space
- ⏰Flexible Working Hours
- ⏸Educational Leave/Sabbatical
- 🏝Extra Holidays
Food & Drink
Higher Take-Home Pay
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Olympus Deutschland GmbH
Olympus proudly develops customer-oriented product solutions for medical technology, science and industry.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production, Electronics, Automatization, Internet, IT, Telecommunication
AI Product Owner
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
