Sr Mgr Global Comm. Data & AI Enablement

Biopharma Careers; Villmergen; Vor Ort; CHF 140.000 - 190.000; Vollzeit

Zusammenfassung

Johnson & Johnson in Switzerland (Villmergen area) seeks a Senior Manager, Global Commercial Data & AI Enablement to lead analytics across Dynamics 365. You will bridge business needs with technical capabilities, define analytics requirements, and design data foundations for AI agents and dashboards while collaborating with regional teams and IT.

This role focuses on delivering consistent, high-value analytics solutions, enabling intelligent, conversational analytics, and driving adoption of

Qualifikationen

• Bachelor's degree or equivalent in technical/business field.
• Seven+ years in analytics, BI, or commercial ops with strategy experience.
• Design data models or analytical frameworks enabling self-service analytics and AI.

Aufgaben

• Define analytics strategy and requirements across commercial domains.
• Assess sales, marketing, customer service and operations analytics needs.
• Translate business needs into technical requirements for dashboards and AI features.
• Design data foundations powering dashboards, reports and AI agents.
• Define metrics, KPIs and standardized analytical frameworks across regions.

Kenntnisse

Analytics strategy

Self-service analytics

Stakeholder management

Cross-functional collaboration

Ausbildung

Bachelor's degree in technical or business field

Advanced degree (MBA) preferred

Tools

Power BI

Tableau

SQL

Microsoft Dynamics 365

Databricks

Dataiku

Snowflake

Jobbeschreibung

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com .

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Data Science Portfolio Management

Job Category

Professional

All Job Posting Locations

Villmergen, Aargau, Switzerland

Job Description

We are searching for the best talent for a Senior Manager, Global Commercial Data & AI Enablement to be located in either Raritan, NJ, or Switzerland.

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): Raritan, NJ, Switzerland. Raritan, NJ - Requisition Number: R-081548. Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.

Commercial Analytics Senior Manager

Role overview

The Commercial Analytics Manager ensures J&J MedTech’s commercial users have a world-class analytics and AI experience within Project Butterfly’s Microsoft Dynamics 365 platform. You will bridge business needs and technical capabilities by defining analytics requirements, designing data foundations for AI agents and dashboards, and collaborating with regional and business unit teams to deliver consistent, high-value analytics solutions.

Key responsibilities

• Define analytics strategy and requirements
• Assess commercial decision processes across sales, marketing, customer service, service & repair, and professional relations & operations and define analytics capabilities that enable better, faster decisions.
• Translate business needs into technical requirements for analytics products, including out-of-the-box Dynamics dashboards and custom regional solutions.
• Design the data foundation across L2 and L3 analytical layers that powers dashboards, reports, and AI agents in Butterfly.
• Define standards for metrics, KPIs, and analytical frameworks to ensure consistency across regions and business units.
• Collaborate with regional and business unit analytics leads to understand reporting inventories and standardize where possible.
• Provide guidance, templates, and best practices to ensure regionally authored analytics meet global standards and quality expectations, not least in terms of user experience.
• Facilitate knowledge sharing and community building across the analytics ecosystem.
• Act as the bridge between global data products and regional and business unit analytics consumption needs.
• Ensure the AI agent experience in Dynamics 365 delivers meaningful and accurate insights to commercial users.
• Define feature sets, context, and data structures that enable intelligent, conversational analytics.
• Test and refine analytics user experiences by identifying gaps, usability issues, and opportunities for improvement.
• Partner with Data Product Managers and Data Engineers to ensure analytics requirements are reflected in data product roadmaps.

Key experience and qualifications

Education: Minimum Bachelor's degree and/or equivalent University degree in technical or business field required; Advanced degree and/or MBA preferred.

Required

• Degree in
• Seven or more years of experience in analytics, business intelligence, or commercial operations with experience defining analytics strategies and requirements.
• Experience designing data models or analytical frameworks that enable self-service analytics and AI use cases.
• Strong understanding of analytics platforms such as Power BI, Tableau, or similar, and modern data architectures, with the ability to engage credibly with technical teams.
• Deep knowledge of commercial processes and decision making in sales, marketing, or customer service contexts.
• Proven ability to work with diverse stakeholders, including regional teams, business unit leads, and IT, to align on standards and drive adoption.

Preferred

• Hands-on experience with Microsoft Dynamics 365, CRM or CXM platforms, and embedded analytics capabilities.
• Familiarity with AI agents, Copilot, or conversational analytics tools and their data requirements.
• Technical proficiency with SQL, data platforms such as Databricks, Dataiku, Snowflake, or analytics engineering concepts.
• Background in life sciences, MedTech, or B2B commercial analytics.
• Experience working in global organizations and managing analytics standardization across regions.
• Understanding of data governance, data quality, and their impact on analytics outcomes.

Additional context

We are looking for an analytics strategist and enabler who can define what great looks like, design the foundations to support it, and empower teams across the organization to deliver exceptional analytics experiences.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

#JNJTECH #LI-Hybrid

Preferred Skills

Advanced Analytics, Business Case Modeling, Consulting, Cross-Functional Collaboration, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Negotiation, Organizing, Predictive Modeling, Process Improvements, Product Portfolio Management, Technical Credibility