Enterprise Architect - Data & AI (Cross Domain)

O projekcie:
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

Enterprise Architect - Data & AI (Cross Domain)

The Principal Enterprise Architect for Data & AI provides essential architectural oversight, visionary leadership, and strategic guidance across a Cross-Domain context. Reporting directly to the Head of Enterprise Architecture, this highly impactful role is specifically designed to architect and oversee Roche’s largest, most promising AI and Data use cases that span across multiple functions (Pharma R&D, Pharma Medicines, Diagnostics, Group Functions, Data, AI, EPIE, Information Security).

In this role, you will act as a principal orchestrator across the broader global architecture community. Rather than focusing on a single sub-function, you will guide cross-domain alignment to balance enterprise coherence with functional autonomy. By architecting scalable Data & AI ecosystems and defining the "digital laws" that govern them, you will safely accelerate the adoption of high-value AI capabilities while actively preventing technological fragmentation and agentic chaos.
Description of the Area

The Strategy, Portfolio & Governance (SPG) Enterprise Architecture function shapes, aligns, and executes technology strategy by connecting business ambition to investment, architecture, and delivery. For this specific role, a primary domain is Informatics (RDT scope), alongside other complex cross-enterprise domains.

You will partner closely with the RDT Artificial Intelligence and RDT Data functions to bridge overarching enterprise strategy with tangible technology execution. While you will support our vertical business facing functions to implement the most complex AI solutions you will ensure that foundational AI models, data products, and agentic workflows are built for enterprise-wide reuse, aligning closely with the ambitious RDT Excellence goals to simplify our landscape and drive value through digital synergy.
What you get:- Salary range 23 300 - 43 300PLN gross based on the employment contract.- Annual bonus payment based on your performance.- Dedicated training budget (training, certifications, conferences, diversified career paths etc.).- Recharge Fridays (2 Fridays off per quarter available).- Take time Program (up to 3 months of leave to use for any purpose).- Vacation subsidy available.- Flex Location (possibility to perform our work from different places in the world for a certain period of time).- Take Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice).- Private healthcare (LuxMed packages), group life insurance (UNUM) and Multisport.- Stock share purchase additions.- Yearly sales of company laptops and cars and many more!

Apply directly and join us in shaping the future of healthcare.

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Wymagania:
Education / Experience
- Bachelor’s or Master’s degree with 10+ years of applied experience in enterprise or strategic architecture roles within complex, matrixed, or federated organizations.- Demonstrated experience providing architectural oversight and strategic guidance specifically within a Cross-Domain context.- Proven track record acting as a recognized leader in the architecture community, guiding others in resolving highly complex cross-functional issues.
Functional & Technical Skills
- Complex Problem Solving: Applies excellent knowledge in two or more domain or technology areas to lead technical discussions, capability assessments, and resolve highly complex cross-functional challenges.- Advanced Data & AI Expertise: Deep, applied knowledge in modern AI architectures, Large Language Models (LLMs), Agentic AI patterns (e.g., Model Context Protocol integration), and scalable cloud data platforms (e.g., Snowflake).- Cross-Domain Architecture: Proficiency in overseeing and governing Information, Technology, Business, and Application Architecture across multiple domains. Excellent knowledge of business processes, data handling, and interfaces across the life sciences value chain.- Architecture Modeling: Active experience with Enterprise Architecture Management (EAM) platforms (specifically SAP LeanIX/ArchiMEDES) to map capabilities, ensure data-driven transparency, and model complex cross-domain AI integrations.
Leadership & Additional Qualifications
- Network & Community Leadership: Demonstrated ability in leading and influencing federated networks of architects without direct reporting lines, inspiring diverse partners to act with a unified voice.- Strategic Advisory & Executive Influence: Deeply connects with and understands internal business needs, successfully gathering support for new concepts. You can communicate complex architectural ideas and influence senior-level stakeholders to adopt new approaches.- Enterprise Mindset: A commitment to the "One Roche" philosophy, prioritizing the success of the entire organization over individual functional silos, and fostering an inclusive, high-performing culture.

Codzienne zadania:
- Define and drive the architectural vision and roadmap for strategic cross-domain Data & AI initiatives, ensuring alignment with enterprise strategy and measurable business outcomes.
- Partner with Domain Architects to enable reusable AI solutions and data products across business divisions, ensuring a scalable enterprise architecture.
- Lead AI architecture governance by defining reference architectures, automated guardrails and standards that ensure security, compliance and responsible AI adoption.
- Evaluate emerging AI technologies (LLMs, RAG, Agentic AI) and advise senior leadership on technology strategy, balancing innovation, cost, risk, reuse and sustainability.
- Collaborate with portfolio management to align architecture with investment decisions, manage technical debt and prioritize high-value AI initiatives.
- Leverage the enterprise architecture toolchain (ArchiMEDES) to deliver data-driven architectural insights that improve decision-making and delivery outcomes.