16 beste Stellen als ai manager in wien, w – aktuell auf Personalsuche

AI Transformation Lead
AOP Orphan Pharmaceuticals GmbH —Wien, W
- Vollzeit
- Master
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Flinn —Wien, W
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AOP Orphan Pharmaceuticals GmbH —Wien, W
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Infor —Wien, W
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Replika —Wien, W
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Oberösterreichische Landesbank Aktiengesellschaft (HYPO Oberösterreich) —Wien 1. Bezirk (Innere Stadt), W
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BLP Digital AG —Wien, W
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Tietoevry —Wien, W
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AI Transformation Lead

AOP Orphan Pharmaceuticals GmbH -
Wien, W

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Master
Bachelor

Vollständige Stellenbeschreibung

Full-time Vienna

We are looking for an experienced AI Transformation Lead to drive AOP Health’s enterprise-wide AI agenda and transform growing AI adoption into a scalable, governed, and business-focused capability. In this role, you will define and execute the AI strategy, prioritize high-value use cases, establish practical governance frameworks, and partner with business functions to deliver measurable value through responsible AI implementation. This is a strategic transformation role with a strong focus on business enablement, governance, change management, and cross-functional collaboration.

What Your Day To Day Will Look Like

Own and drive AOP’s AI strategy, roadmap, governance framework, and enterprise-wide use-case portfolio, ensuring alignment with business priorities and measurable value creation.
Partner with stakeholders across Medical, Regulatory, Quality, Pharmacovigilance, Commercial, Manufacturing, Supply Chain, and Corporate Functions to identify, prioritize, and implement high-impact AI opportunities.
Lead the responsible adoption of AI technologies by establishing governance standards, risk management practices, safe-use guidelines, and appropriate oversight for regulated and business-critical use cases.
Coordinate cross-functional collaboration between business teams, IT, data, security, legal, compliance, and external vendors to successfully deliver AI-enabled initiatives and scalable solutions.
Drive organizational change and capability building through training, ambassador networks, best practices, and adoption programs that embed AI into everyday workflows.
Monitor AI adoption, business impact, risks, and costs through KPIs and executive reporting while continuously evaluating emerging technologies and industry developments.

Your Qualifications And Experience

Bachelor’s or Master’s degree in Business, Life Sciences, Digital Transformation, Data, IT, Engineering, or a related field.
Minimum 8 years of experience in digital transformation, AI/data product management, enterprise technology, IT business partnering, technology consulting, or a similar role.
Proven ability to translate business challenges into technology-enabled solutions, roadmaps, business cases, and investment priorities.
Hands-on understanding of generative AI tools, AI-enabled enterprise platforms, data-driven workflows, and emerging AI operating models.
Strong stakeholder management skills with the ability to collaborate effectively across senior leadership, business functions, IT, governance teams, and external partners.
Practical understanding of data governance, information security, privacy, vendor management, and risk management principles.
Experience in the pharmaceutical, healthcare, life sciences, or another regulated industry is strongly preferred. Familiarity with GxP environments, quality systems, validation concepts, and AI-related regulations such as the EU AI Act is an advantage.
Excellent analytical, communication, facilitation, and problem-solving skills, combined with a pragmatic, results-oriented mindset.
Fluent in English; additional European languages are considered a plus.

Our offer

Open corporate culture with the opportunity to bring in your own ideas
Great opportunities for personal and professional development
Attractive work environment with excellent career opportunities and flat hierarchies
Competitive salary package plus bonus and various benefits
Gross annual salary provided for this function is a minimum of EUR 54.642,- based on full-time employment (38,5h/week). Any potential overpayment depends on professional experience and qualifications.

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Please submit your application exclusively via the application link.

Main Benefits

Bonus

Homeoffice

Employee mobile phone

Flexible working hours

Laptop

Initial and continuing education

Canteen

Good transport connection

Employee events

Meal allowance

Company doctor

Parking spot

Healthmeasures

Employee discount

Your Contact

Kenny Trappl

Talent Acquisition Manager

Jetzt bewerben

Erweiterte Suche

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