דרושים Senior Emea Ai Product Owner - Paris ב-Boston Scientific ב-צרפת

France-Île-de-France; Germany-Düsseldorf; Italy-Milan; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead

Your role in Data & AI

As a Senior Data Platform & MLOps Engineer, you will design, build, and operate the cloud data platforms that powers analytics and AI solutions across EMEA. You will partner closely with data engineers, AI engineers, data scientists, product managers, architects, and governance teams to create secure, reliable, and reusable platform services. This role combines hands-on engineering with cross-functional collaboration and plays a key part in implementing our new global data strategy.

You will work across a wide range of platform components, from data ingestion and orchestration to observability, security, and automation, ensuring that regional requirements such as GDPR and data residency are built into platform design without slowing innovation.

Crucially, you will build and maintain the shared infrastructure that enables AI engineering and data science teams to develop, deploy, and scale machine learning solutions efficiently and responsibly. Your work will accelerate the delivery of AI-driven insights and automation across EMEA, ensuring that advanced analytics and ML capabilities are grounded in a secure, compliant, and scalable data foundation.

What you will do

You will design, build, and operate cloud data platform components, including data lakes, warehouses, streaming systems, orchestration layers, and metadata tooling. Your work will focus on making these services secure, observable, automated, and scalable, enabling analytics, AI, and data science teams to innovate with confidence.

In parallel, you will design, implement, and maintain MLOps pipelines that support the full machine learning lifecycle, from experimentation and model training to deployment, monitoring, and continuous improvement. You will embed model governance, lineage tracking, and performance observability into the platform, ensuring that ML solutions are reliable, compliant, and production-ready. You’ll also collaborate closely with data scientists and AI engineers to streamline model delivery using modern tools such as SageMaker, MLflow, Kubeflow, or Vertex AI.

In this role, you will:

• Operate and enhance cloud-based data platform components across compute, storage, orchestration, streaming, and metadata.
• Build and manage end-to-end MLOps pipelines, integrating CI/CD practices and automation for ML workflows.
• Monitor platform and model health, pipeline performance, latency, and costs, driving continuous optimization.
• Collaborate with global engineering and architecture teams to deliver infrastructure-as-code, secure patterns, and reusable services.
• Translate business and product needs into reusable platform and MLOps capabilities, templates, and standards.
• Provide guidance and coaching to teams on best practices, self-service tooling, and platform adoption.
• Strengthen observability, data quality, and compliance through metrics, logging, lineage, and GDPR-aligned controls.
• Contribute to global architecture and platform standards while representing EMEA-specific requirements and priorities.

We’re seeking someone with deep engineering craft, strong MLOps expertise, and the ability to balance speed with governance in a complex environment. You enjoy solving platform challenges, building scalable, reusable patterns, and enabling data and AI teams to develop, deploy, and scale models efficiently. You do not need a MedTech background, though experience in regulated industries or working with sensitive data is an advantage.

Must-haves (the practical elements)

• Bachelor’s degree in computer science, engineering, or a related field, with 5–8+ years of experience in data, platform, or MLOps engineering.
• Strong cloud experience, particularly with AWS and Snowflake (Azure is a plus), combined with hands-on skills in Python, SQL, and distributed processing frameworks (e.g., Spark/EMR).
• Expertise with infrastructure-as-code (Terraform or similar), CI/CD pipelines (GitHub Actions, Azure DevOps), and containerized/orchestrated environments (Docker, Kubernetes).

• Demonstrated ability to design, implement, and maintain MLOps pipelines covering model training, deployment, monitoring, and retraining, using tools such as SageMaker, MLflow, Kubeflow, or Vertex AI.
• Model lifecycle management: Familiarity with model registries, feature stores, and governance frameworks that include versioning, lineage tracking, explainability, and compliance.
• Experience in implementing observability for ML and data systems, including metrics collection, model-drift detection, and performance dashboards.
• Security and compliance: Solid understanding of cloud security best practices (IAM, encryption, secrets management, policy-as-code) and the ability to design solutions aligned with governance and regulatory requirements.

• Strong communication and collaboration skills across technical and non-technical stakeholders, fluency in English, and eligibility to work in one of the listed hub locations.

We also expect familiarity with

To thrive in this role, you should feel comfortable with, or be eager to grow in, these areas:

• Modern data lakehouse architectures, data mesh concepts, and event streaming platforms (Kafka, Kinesis).
• End-to-end MLOps lifecycle management, including CI/CD for machine learning models, model performance monitoring, and automation best practices.
• Enterprise data catalogs (Collibra, Alation, Purview), documentation practices, and developer experience design.
• Batch, micro-batch, and streaming workloads, cost optimization strategies, and large-scale or regulated environments.
• Understanding of governance and compliance frameworks (GDPR), data residency requirements, and secure access models.

Bonus points

• Experience in MedTech, Pharma, Consulting, or other regulated industries.
• Exposure to AI/ML workflows, MLOps pipelines, semantic layers, feature stores, or GenAI-assisted tooling.
• Strong interest in coaching, knowledge sharing, and working in large, multinational teams.

Why this role matters

This position sits at the heart of our new enterprise data strategy. The systems you build will provide the foundation for everything from operational reporting to advanced analytics, AI, and connected digital products. You will join a global community of engineers and architects who collaborate closely, share practices across regions, and collectively shape a new platform that will serve Boston Scientific for many years to come.

Because this is a greenfield transformation, you will have significant scope to influence architecture, establish standards, and design solutions that balance speed, governance, and sustainability. Your work will help accelerate how data improves decision-making, supports clinicians, and ultimately enhances patient outcomes.

Interview process

If you are excited by the idea of building secure, scalable, and well-engineered data platforms that enable others to innovate, we would be happy to hear from you.

Costa Rica-Coyol

Hybrid Roles:

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Process Engineering & Continuous Improvement:

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• Plans, organizes, and conducts all aspects of technical reviews.
• Provides Design for Manufacturability (DFM) input to the engineering print package.
• Contributes ideas to or generates Intellectual Property submissions.
• Trains and/or provides work direction to technicians and engineers and may train manufacturing personnel when required as part of a validation.
• May serve as a core team member or extended team member on new product projects.

Minimum Requirements

• Bachelor’s or Master’s Degree in Mechatronics Engineering, Mechanical Engineering, Electrical Engineering, or a related field.
• 7+ years of experience in process engineering, mechanical design, and control system integration in a manufacturing or industrial automation setting.
• Proven experience in:

1. 3D mechanical CAD tools (e.g., SolidWorks, PTC Creo, AutoCAD)
2. PLC/HMI development (e.g., Siemens TIA Portal, Allen-Bradley RSLogix/Studio 5000)
3. Motion control systems (e.g., servo drives, stepper motors, pneumatics)
4. Control systems programming, electrical panel layout, and troubleshooting.
5. Strong understanding of mechatronic system integration—including mechanical, electrical, and software interfaces.
6. Familiar with robotics, machine vision, and industrial communication protocols.
7. Experience with process documentation (P&IDs, control narratives, wiring diagrams).
8. Ability to lead cross-functional teams and drive projects from concept to production.

Preferred Qualifications:

• Experience with MATLAB/Simulink or other modeling/simulation tools.
• Familiarity with NI LabVIEW, Python, or C/C++ for custom test or automation tools.
• Experience in regulated industries (medical device, automotive, aerospace, or semiconductor).
• Professional Engineer (PE) license or relevant certifications (e.g., Six Sigma Black Belt).
• Knowledge of Industry 4.0, IoT-enabled manufacturing, and digital twin technologies.

France-Île-de-France; Germany-Düsseldorf; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead

ADay in the Lifeof the EMEA Data Product Manager & Owner:

You’ll begin your day by reviewing data products performance and reliability signals across your portfolio - usage and adoption trends, data quality scores, pipeline SLAs/SLOs, and customer feedback. You’ll meet with internal customers to connect business outcomes to clear data products objectives, refining priorities to unlock measurable value.

When EMEAspecific regulatory constraints (e.g., GDPR) arise, you’ll partner with Legal, Security, and HR to chart compliant pathways that keep delivery moving.

You will work with data engineering, platform, architecture and governance teams to clarify data contracts, schemas, lineage, and access models, ensuring every increment is productionready and governed by design. You’ll groom the roadmap and backlog, decomposing epics, sharpening acceptance criteria, and balancing new capabilities with technical debt, observability, and cost optimization. You’ll demo recent increments, capture user feedback, and turn it into testable stories that improve usability, trust, and performance. You’ll brief sponsors on value realized and present investment options for the next phases.

On a monthly rhythm, you’ll coordinate with global data and architecture forums to reuse patterns, converge on standards, and ensure EMEA needs are represented in the enterprise roadmap.

As a champion of the data strategy & enablement team, you will drive adoption through excellent product experience - discoverability in the catalog, clear documentation, and dependable service levels that help teams selfserve trustworthy, governed data at scale.

The role:

Reporting to the Data Strategy & Enablement Sr Manager, the EMEA Data Product Manager & Owner is accountable endend for strategy and dayday delivery of data products

You will translate business outcomes into product capabilities, manage scope and trade

Success requires a blend of product strategy, stakeholder leadership, and handson ownership to ship secure, compliant, and scalable data products that power analytics, AI, and operational workflows across the region.

Key Responsibilities:

• Product vision & strategy: Define a 12–24‑month vision, value hypotheses, and positioning for EMEA data products, maintain an outcome‑based roadmap aligned with enterprise standards and local needs.
• Backlog ownership & delivery: Convert outcomes into prioritized epics/stories, lead refinement and planning, uphold DoR/DoD, balance features with reliability, observability, cost, and sustainability.
• Value & metrics: Establish VIPs/KPIs/OKRs (adoption, time‑to‑data, data trust, NPS, ROI); run quarterly value reviews, iterate the roadmap based on evidence.
• Data governance by design: Embed privacy, security, quality, and lifecycle controls (policies, lineage, access models, retention, auditability) into every increment, ensure GDPR compliance and data residency adherence.
• Data contracts & semantics: Maintain versioned schemas and contracts, define business rules and semantic layers that ensure interoperability across domains.
• Platform leverage & reusability: Reuse enterprise platforms, patterns, and reference architectures, drive reusability and scale across markets while meeting country‑specific requirements.
• Stakeholder & change leadership: Communicate clearly at all levels; manage dependencies and risks, prepare business cases, Investment Board inputs, release notes, and adoption communications.
• Incident, risk & release management: Triage issues, lead RCA, and prioritize preventative fixes, plan releases and change controls, coordinate rollbacks/hotfixes where needed.
• Enablement & adoption: Publish documentation, examples, and learning paths, champion catalog discoverability, access requests, and community channels.
• Financial stewardship: Own product budgets/forecasts, track benefits realization and ROI, report performance and outcomes to sponsors and Finance partners.
• Global alignment: Partner with global product, platform, and architecture teams to align roadmaps, share learnings, and represent EMEA needs and impact.

What you will need:

• Bachelor’s in Business, Computer Science, Engineering, or related field.
• 7–10+ years across product management/ownership, data platforms, analytics, or digital strategy. Medtech/pharma/consulting experience is a plus.
• Proven success delivering data products from concept to scaled adoption (data product mindset desirable).
• Strong grasp of data privacy (GDPR), regulatory frameworks, security, and AI ethics.
• Practical understanding of ELT/ETL, event streaming, data modeling, semantic layers, and production operations (SLAs/SLOs, observability).
• Expert backlog management, story writing, acceptance testing, and agile delivery at scale (Scrum/Kanban).
• Excellent communication and facilitation, able to influence executive, technical, and non‑technical audiences.
• Technical fluency and eagerness for continuous learning in Data & AI capabilities and products.

What do you offer:

• A passion for enabling teams with trustworthy, usable data, and a bias for measurable outcomes.
• Ownership mindset with high accountability for user satisfaction and product reliability.
• Pragmatic product instincts: you simplify, focus, and ship, balancing new value with platform hygiene and cost.
• Curiosity for emerging capabilities (semantic modeling, GenAI augmentation …etc.) and how to apply them responsibly.

What do we offer:

• A chance to shape the EMEA data product portfolio and set enterprise‑wide standards.
• A collaborative, global network and supportive coaching culture focused on your growth.
• Opportunities to lead high‑impact initiatives that advance analytics and AI adoption across diverse markets.
• A coaching culture environment focusing on your success and development!

Primary focus is providing administrative support for multiple managers and/or directors in selling organization in order to relieve them of administrative details. Works under general supervision and receives detailed instructions only for new assignments.

Your Responsibilities will include:

• Performs general administrative duties that may include coordinating meetings/calendar management, arranging travel, and ordering/maintaining supplies.
• Prepares expense reports for selling managers and directors.
• Schedules appointments and makes travel arrangements.
• Plans and coordinates meetings and events by coordinating calendars, scheduling catering, ordering audio-visual equipment and working with facilities to ensure room configurations.
• Assists in the preparation of reports, graphs, and presentations using Microsoft Office tools.
• Creates purchase orders in Ariba/MyBuy and manages a small number of invoices.
• Onboards new employees, maintains vacation records, and assist sales team with administrative tasks.
• Acts as an informed source of company policies and procedures by answering routine questions or routing to appropriate employees for answers.
• Conducts all aspects of the job with appropriate level of confidentiality and sensitivity to employee and organizational data by storing documents carefully and not disclosing confidential information except on a need-to-know basis.
• Willingness to be flexible, assume additional responsibilities, and coordinate activities with co-workers
• Ad hoc projects as required.

Required Qualifications

• 1 year of experience with Associate’s or Bachelor’s degree preferred.
• Proven experience working in a fast-paced organization.
• Strong communication skills (verbal and written) and interpersonal skills with ability to work across multiple levels of an organization.
• Strong proficiency in MS Outlook, SharePoint, Word, Excel & PowerPoint.
• Strong sense of responsibility and urgency as well as attention to detail.
• Strong customer-service orientation and professional demeanor.
• Highest ethical standards. Discretion and sound judgment when dealing with confidential and/or sensitive information.

Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).

Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).

For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.

The anticipated annualized base amount or range for this full time position will be, plus variable compensation governed by the Sales Incentive Compensation Plan (which includes certain annual non-discretionary incentives based on predetermined objectives) as well as the value of core and optional benefits offered at BSC, which can be reviewed at www.bscbenefitsconnect.com. Actual compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, and other relevant business or organizational needs.

For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.

Among other requirements, Boston Scientific maintains specific prohibited substance testing requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a drug test as a pre-employment requirement. The goal of the drug testing is to increase workplace safety in compliance with the applicable law.

France-Auvergne-Rhône-Alpes; Belgium-Diegem; France-Bourgogne-Franche-Comté; France-Bretagne; France-Centre-Val de Loire; France-Grand Est; France-Hauts-de-France; France-Normandie; France-Nouvelle-Acquitaine; France-Occitanie; France-Pays de la Loire; France-Provence-Alpes-Côte d'Azur; France-Voisins le Bretonneux; France-Île-de-France; Ireland North - Belfast; Ireland North - Derry; Ireland-Clonmel; Ireland-Cork; Ireland-Craigavon; Ireland-Drogheda; Ireland-Dublin; Ireland-Dundalk; Ireland-Galway; Ireland-Kerlogu; Ireland-Kerlogue; Ireland-Limerick; Ireland-Waterford; Norway-Asker; Sweden-Helsingborg; United Kingdom-Aberdeen; United Kingdom-Ashford; United Kingdom-Backburn; United Kingdom-Barnsley; United Kingdom-Barnsley; United Kingdom-Basildon; United Kingdom-Basingstoke; United Kingdom-Bath; United Kingdom-Bedford; United Kingdom-Birkenhead; United Kingdom-Birmingham; United Kingdom-Blackpool; United Kingdom-Bolton; United Kingdom-Bournemouth; United Kingdom-Bradford; United Kingdom-Bradford; United Kingdom-Brighton; United Kingdom-Bristol; United Kingdom-Camberley; United Kingdom-Cambridge; United Kingdom-Canterbury; United Kingdom-Cardiff; United Kingdom-Carlisle; United Kingdom-Chelmsford; United Kingdom-Cheltenham; United Kingdom-Chester; United Kingdom-Colchester; United Kingdom-Coventry; United Kingdom-Crawley; United Kingdom-Darlington; United Kingdom-Derby; United Kingdom-Doncaster; United Kingdom-Dundee; United Kingdom-Eastbourne; United Kingdom-Edinburgh; United Kingdom-Exeter; United Kingdom-Farnham; United Kingdom-Glasgow; United Kingdom-Gloucester; United Kingdom-Guildford; United Kingdom-Harlow; United Kingdom-Hartlepool; United Kingdom-Hastings; United Kingdom-Hemel Hempstead; United Kingdom-Huddersfield; United Kingdom-Hull; United Kingdom-Leeds; United Kingdom-Leicester; United Kingdom-Lincoln; United Kingdom-Liverpool; United Kingdom-Maidstone; United Kingdom-Maidstone; United Kingdom-Manchester; United Kingdom-Middlesbrough; United Kingdom-Milton Keynes; United Kingdom-Newcastle; United Kingdom-Newport; United Kingdom-Northampton; United Kingdom-Norwich; United Kingdom-Nottingham; United Kingdom-Nuneaton; United Kingdom-Oxford; United Kingdom-Peterborough; United Kingdom-Plymouth; United Kingdom-Poole; United Kingdom-Portsmouth; United Kingdom-Preston; United Kingdom-Reading; United Kingdom-Rochdale; United Kingdom-Rotherham; United Kingdom-Sale; United Kingdom-Salford; United Kingdom-Sheffield; United Kingdom-Slough; United Kingdom-Solihull; United Kingdom-Southampton; United Kingdom-Southend-on-Sea; United Kingdom-Stevenage; United Kingdom-Stoke; United Kingdom-Swansea; United Kingdom-Swindon; United Kingdom-Taunton; United Kingdom-Telford; United Kingdom-Warrington; United Kingdom-Watford; United Kingdom-Western-super-Mare; United Kingdom-Woking; United Kingdom-Wolverhampton; United Kingdom-Worchester; United Kingdom-Worthing; United Kingdom-Wrexham; United Kingdom-York

the role:

As a Senior Field Clinical Engineer (FCRE) at Boston Scientific, you will play a vital role in supporting the execution and management of clinical trials and providing commercial support in the field. Your work will directly impact patient outcomes, support the advancement of medical innovation, and help bring life-changing therapies to market. In this role, you’ll serve as the clinical expert at trial sites, educate healthcare professionals, and provide hands-on technical support during procedures in hospital and clinic settings.

Clinical trial responsibilities:

• Manage clinical trial activity within your assigned territory to meet corporate and departmental objectives
• Complete site Interest Visits and Site Initiation Visits
• Educate clinical investigators on trial protocols, clinical processes, and investigational product features
• Provide technical support for clinical trial procedures including implants and follow-up visits, with direct patient contact
• Train on and maintain knowledge of clinical trial protocols, SOPs, and global regulatory compliance
• Manage investigational product inventory throughout the clinical process

Commercial responsibilities:

• Educate customers on the proper clinical usage and benefits of Boston Scientific’s commercially approved products
• Deliver presentations and product demonstrations to current and potential customers
• Develop strong relationships with hospital personnel and key decision-makers
• Address customer needs and complaints by providing timely, feasible solutions

General responsibilities:

• Support both commercial and clinical procedures, including patient implants and follow-ups
• Ensure adherence to guidelines for managing commercial and investigational product inventor

Quality system requirements:

• Demonstrate a strong commitment to patient safety and product quality by complying with the Quality Policy and all documented quality processes and procedures
• Support a work environment that fosters quality compliance (for roles involving supervision)

Required qualifications:

• Minimum of 5 years' experience in electrophysiology (EP), cardiac rhythm management (CRM), or a similar clinical/technical field
• Demonstrated ability to manage complex field activities and clinical support functions
• Strong working knowledge of clinical trial protocols and regulatory standards
• Ability to work independently and collaboratively in a fast-paced environment
• Willingness and ability to travel extensively and be on-call, including evenings and weekends

Preferred qualifications:

• Bachelor’s degree in Biomedical Engineering, Life Sciences, or related field
• Prior experience supporting implantable medical devices in a clinical setting
• Familiarity with Good Clinical Practices (GCP) and FDA/ISO regulations
• Excellent communication, presentation, and relationship-building skills
• Experience working with investigational product inventory and device logistics

ADay in the Lifeof the EMEA AI Product Owner:

You’ll begin your day translating business needs into technical requirements, prioritizing features in the backlog, and overseeing the AI product lifecycle to ensure successful, ethical, and valuable implementations. Key responsibilities include defining success criteria, collaborating with data scientists and engineers, and bridging the gap between business goals and AI capabilities.

You will work on initiatives like AgentForce AI, PACE and other new AI opportunities in the region.

You will collaborate with the AI Product Managers, Data Engineering, Platform, Architecture, and Governance teams to clarify data contracts, schemas, lineage, and access models, ensuring each increment is production-ready and guided by design. You’ll groom the roadmap and write user stories to add to the backlog, break down epics, refine acceptance criteria, and balance new features with technical debt, observability, and cost efficiency. You’ll demo recent increments, gather user feedback, and turn it into testable stories that enhance usability, trust, and performance. You’ll brief sponsors on the value delivered and present investment options for the next phases.

Your role is more technically demanding, requiring an understanding of AI technologies and ethical considerations. You must navigate challenges like data privacy and compliance with data protection regulations. Additionally, you will manage AI bias by providing diverse datasets for model training and using bias detection mechanisms to monitor AI outputs.

On a monthly rhythm, you’ll coordinate with global data and architecture forums to reuse patterns, converge on standards, and ensure EMEA needs are represented in the enterprise roadmap.

As a champion of the data strategy & enablement team, you will drive adoption through excellent product experience - discoverability in the catalog, clear documentation, and dependable service levels that help teams selfserve trustworthy, governed data at scale.

The role:

Reporting to the Product Ownership Sr Manager, the EMEA AI Product Owner is accountable for the dayday delivery of data products

You will translate business outcomes into product capabilities, manage scope and trade

Success requires a blend of AI technology expertise, stakeholder leadership, and hands-on ownership to deliver secure, compliant solutions for the EMEA region.

Key Responsibilities:

• Backlog ownership & delivery: Convert outcomes into prioritized epics/stories, lead refinement and planning, uphold DoR/DoD, balance features with reliability, observability, cost, and sustainability.
• Value & metrics: Establish VIPs/KPIs/OKRs (adoption, time‑to‑data, data trust, NPS, ROI); run quarterly value reviews, iterate the roadmap based on evidence.
• Privacy and Data Governance by design: Embed privacy, security, quality, and lifecycle controls (policies, lineage, access models, retention, auditability) into every increment, ensure GDPR compliance and data residency adherence.
• Platform leverage & reusability: Reuse enterprise platforms, patterns, and reference architectures, drive reusability and scale across markets while meeting country‑specific requirements.
• Stakeholder & change leadership: Communicate clearly at all levels; manage dependencies and risks, prepare business cases, Investment Board inputs, release notes, and adoption communications.
• Incident, risk & release management: Triage issues, lead RCA, and prioritize preventative fixes, plan releases and change controls, coordinate rollbacks/hotfixes where needed.
• Enablement & adoption: Publish documentation, examples, and learning paths, champion catalog discoverability, access requests, and community channels.
• Financial stewardship: Own product budgets/forecasts, track benefits realization and ROI, report performance and outcomes to sponsors and Finance partners.
• Global alignment: Partner with global product, platform, and architecture teams to align roadmaps, share learnings, and represent EMEA needs and impact.

What you will need:

• Bachelor’s in Business, Computer Science, Engineering, or related field.
• 7–10+ years across product management/ownership, data platforms, analytics, or digital strategy. Experience in medtech, pharma/consulting is a plus.
• Strong understanding of AI, machine learning, and data science concepts. Proven success delivering AI products from concept to scaled adoption. Strong understanding of ethical AI considerations.
• Excellent communication and collaboration skills.
• Experience in defining product roadmaps and requirements.
• Familiarity with AI tools and a data-driven approach.
• Strong grasp of data privacy (GDPR), regulatory frameworks, security, and AI ethics.
• Expert backlog management, story writing, acceptance testing, and agile delivery at scale (Scrum/Kanban).
• Excellent communication and facilitation, able to influence executive, technical, and non‑technical audiences.
• Technical fluency and eagerness for continuous learning in Data & AI capabilities and products.

What do you offer:

• Ownership mindset with high accountability for user satisfaction and product reliability.
• • Pragmatic product instincts: you simplify, focus, and drive value creation and delivery of AI products
• • Learning agility and curiosity about emerging capabilities and responsible ways to apply them.

What do we offer:

• A chance to drive innovation by delivering meaningful AI solutions across the EMEA region.
• A collaborative, global network and supportive coaching culture focused on your growth.
• Opportunities to lead high‑