Senior Manager, Global Commercial Data & AI Enablement

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:

Raritan, New Jersey, United States of America

Job Description:

We are searching for the best talent for a Senior Manager, Global Commercial Data & AI Enablement to be located in Raritan, NJ or other NJ, PA or Florida J&J locations

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…