Manager, Insights Strategy & Innovation

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at .

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.

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Job Description:

Manager Insights Strategy & Innovation will lead the insight analytic function within Medical Affairs (MAF) delivering timely accurate and actionable insights to inform strategic decision-making. This role is also responsible for advancing AI-driven solutions and automation (including GenAI and conversational AI) that produce measurable business outcomes as well as shaping and executing digital channel development and/or omnichannel strategy based on insights in collaboration with subject matter experts and partner functions. While technical knowledge and experience in areas such as data engineering ML/NLP and MLOps are highly desirable the primary emphasis of this role is on strong people leadership and stakeholder management. The successful candidate will lead teams align cross-functional stakeholders and work with technical experts and partners to scale reliable compliant and cost-effective analytics and automation capabilities into production.

Core Responsibilities

Define and execute the insight analytics and innovation roadmap for MAF ensuring alignment with organizational priorities and prioritizing initiatives by business impact and feasibility.

Lead and develop team members fostering a culture of collaboration accountability experimentation and continuous improvement.

Build strong partnerships with business stakeholders senior leaders and cross-functional teams to identify high-value opportunities align priorities and drive execution.

Translate business needs into practical analytics AI and automation initiatives by working closely with technical experts IT compliance and external partners.

Provide leadership across the lifecycle of analytics and innovation initiatives from problem framing and prioritization to implementation adoption and continuous improvement.

Ensure that AI and automation initiatives are implemented in a compliant scalable and business-relevant manner with clear governance and measurable impact.

Support the design and operationalization of GenAI analytics and automation capabilities by providing direction prioritization and stakeholder alignment.

Translate complex analyses into clear and actionable recommendations that support strategic decision-making.

Leverage insights to shape and execute digital channel development and/or omnichannel strategy in collaboration with subject matter experts and partner functions.

Promote adoption of new capabilities across MAF through communication training and change management.

Coordinate cross-functional delivery with data engineering IT regulatory/compliance and vendor partners to ensure secure and effective implementation.

Qualification:

Masters degree MBA or academic background in data science engineering or a related field is preferred.

Experience in the pharmaceutical industry Medical Affairs or a related function is preferred.

Proven experience in people management or team leadership.

Demonstrated ability to build alignment and drive execution across multiple stakeholders.

Strong communication presentation relationship-building and project prioritization skills.

Ability to structure complex issues set priorities and lead initiatives to deliver measurable business outcomes.

Knowledge of or exposure to AI analytics data science or automation is a strong advantage.

Hands-on experience in data engineering machine learning NLP MLOps or cloud platforms (AWS/Azure) is welcome but not required as the primary qualification.

Experience working with technical experts or external vendors to implement solutions is an advantage.

Experience collaborating with cross-functional experts to translate insights into digital channel development and/or omnichannel strategy is an advantage.

Experience working in regulated environments or driving initiatives with compliance considerations is preferred.

Exceptional communication presentation and stakeholder management skills in both Japanese and English.

Strong people leadership coaching and team development capabilities.

Ability to engage effectively with senior stakeholders and lead cross-functional collaboration.

Strategic agility business acumen and the ability to connect organizational priorities with execution.

Sufficient understanding of analytics AI and automation concepts to guide decision-making and partner effectively with technical specialists.

• Based on your experience and interview evaluation the position title and level may vary.
• If you are Japan employee please read Internal Application Guideline in Ask GS. Especially if you are less than 18 months in your current role you are required to obtain application approval from your current manager as well as your respective BUHR. If you are Japans employee you are not able to apply for multiple positions at once.
• For Employee Referral Program (ERP) please read and understand the details of theInternal Referral Overview on the Ask GS and you have made a compliant referral.

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