Sr Mgr Global Comm. Data & AI Enablement

Johnson and Johnson

Villmergen

Vor Ort

CHF 140.000 - 200.000

Vollzeit

Vor 8 Tagen
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Benefits dieser Stelle

Hybrid work model
Accommodation available

Zusammenfassung

Johnson & Johnson seeks a Senior Manager for Global Commercial Data & AI Enablement to shape analytics strategy and data foundations. You will bridge business needs and technical capabilities across regions, delivering consistent, high-value analytics solutions within Microsoft Dynamics 365.

The role requires leading cross-functional teams, designing data architectures, and advancing AI-enabled analytics to empower commercial decisions.

Qualifikationen

  • Minimum Bachelor’s degree or equivalent in technical or business field.
  • Seven+ years of analytics, BI, or commercial operations experience with analytics strategy.
  • Experience designing data models or frameworks for self-service analytics and AI.
  • Strong knowledge of analytics platforms (Power BI/Tableau) and modern data architectures.
  • Deep knowledge of commercial processes in sales, marketing, or customer service contexts.
  • Ability to align regional and IT stakeholders to standards and adoption.

Aufgaben

  • Define analytics strategy and requirements across regions and business units.
  • Translate business needs into technical requirements for analytics products and dashboards.
  • Design data foundations powering dashboards, reports, and AI agents.
  • Set metrics, KPIs, and analytical frameworks for global consistency across regions.
  • Collaborate with regional analytics leads to standardize reporting inventories.
  • Guide teams with templates and best practices for analytics delivery.
  • Bridge global data products with regional analytics consumption needs.
  • Ensure AI agent experiences in Dynamics 365 deliver meaningful insights.
  • Partner with product managers and data engineers to reflect analytics in roadmaps.

Kenntnisse

Analytics strategy
Analytics architecture
Stakeholder management
Cross-functional collaboration
Data governance
Data quality
Commercial processes knowledge

Ausbildung

Bachelor’s degree or equivalent
MBA or advanced degree

Tools

Power BI
Tableau
SQL
Databricks
Dataiku
Snowflake
Microsoft Dynamics 365

Jobbeschreibung

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.
Enable regional and business unit analytics teams
  • 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.
Optimize AI agent and analytics experience
  • 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.

Equal opportunity statement

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.

Accommodation

Johnson & J&J 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,

Company tags

#JNJTECH

#LI-Hybrid

Preferred Skills

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

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