Manager, GS Customer Insights & Analytics

Johnson Johnson

Taguig

On-site

PHP 2,400,000 - 3,200,000

Full time

7 hours ago
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Job summary

Johnson & Johnson is seeking a high-impact analytics leader to shape how commercial decisions are made across MedTech and other sectors. You will define capability strategy, governance, and a roadmap, guiding a multidisciplinary team to deliver data-driven insights that impact revenue, pricing and optimization.

You will partner with MedTech Commercial, Finance, Data & AI, IT and Global Services to identify opportunities and drive adoption, expanding analytics reach with scalable solutions.

Qualifications

  • Bachelor's degree in data science, business analytics, information systems, engineering, finance or related discipline; advanced degree or certification is a plus.
  • Proven experience leading analytics, BI, automation or data-transformation initiatives with measurable outcomes.
  • Experience guiding multidisciplinary teams and balancing priorities with accountability and collaboration.
  • Strong business acumen; healthcare/MedTech or regulated industry experience is preferred.
  • Proven ability to translate complex data into clear insights and practical recommendations.
  • Strong stakeholder management and executive communication across diverse teams.
  • Knowledge of data visualization, advanced analytics, automation, data governance and AI-enabled solutions is advantageous.

Responsibilities

  • Capable of leading analytics, BI, automation and data transformation initiatives with clear outcomes.
  • Translate business challenges into analytical requirements, roadmaps and success metrics.
  • Guide a multidisciplinary team across analytics, data ops and operations to deliver impact.
  • Collaborate with Commercial, Finance, IT and other stakeholders to align priorities.
  • Develop governance, milestones, risks and post-implementation reviews for projects.
  • Create trusted, decision-ready insights and executive narratives for commercial partners.
  • Expand Customer Insights & Analytics across additional businesses, regions and use cases.

Skills

Leadership
Analytics strategy
Business intelligence
Data visualization
Team development
Stakeholder management
Executive communication
Data governance
AI-enabled analytics

Education

Bachelor's degree in data science or related field
Advanced degree or relevant certification advantage

Job description

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 recognise their merit.

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Business Intelligence

Job Category

Professional

All Job Posting Locations

Taguig, National Capital Region (Manila), Philippines

About the Opportunity

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 where solutions are personal. Join a global community united by our Credo and a shared purpose: to profoundly impact health for humanity.

Johnson & Johnson Global Services (GS) brings together expertise, technology, and standardised ways of working to deliver trusted services and meaningful value across the enterprise. By simplifying how work gets done and advancing digital capabilities, GS helps our businesses focus on what matters most: serving patients, customers, and communities around the world.

Within Strategy and Business Services, the Data Transformation & Business Intelligence team turns data into decisions. We build scalable data foundations, analytics, automation and digital solutions that help Global Services and its business partners operate with greater insight, speed and confidence.

The Role

This is a high-impact leadership opportunity for a strategic, curious and hands‑on analytics leader who wants to shape how commercial decisions are made. The Manager, Global Services Customer Insights & Analytics will lead an end‑to‑end capability that transforms complex customer, sales, pricing, contract, market and operational data into clear actionable insights for MedTech and other business sectors.

You will define the capability’s strategic direction, operating model, governance, roadmap and talent agenda. Working closely with MedTech Commercial, Finance, Data & AI, IT and Global Services leaders, you will identify high‑value opportunities and translate/collaborate with different business stakeholders.

Your work will directly support business competitive advantage/growth, customer acquisition, pricing and contract decisions, operational execution and productivity. You will guide a multidisciplinary team, expand the reach of this capability, accelerate data mining and insights while strengthening collaboration with our business partners.

What You Will Do
  • Capability and Team Leadership:
    • Set the strategic direction, operating model and roadmap for the GS Customer Insights & Analytics capability in alignment with business and Global Services priorities.
    • Lead and develop a multidisciplinary team across analytics, business intelligence, automation and data operations, fostering a culture of collaboration, accountability, innovation and continuous improvement.
    • Oversee workforce planning, capacity management, hiring, onboarding, performance management, succession planning and capability development to ensure the team has the skills and resources required to meet evolving business needs.
    • Establish sustainable knowledge‑management, cross‑training and transition practices that promote operational resilience and service continuity.
  • Strategy, Portfolio and Product Management:
    • Translate business challenges into clearly defined analytical requirements, solution roadmaps, success measures, resource plans and implementation approaches.
    • Prioritise demand based on strategic alignment, customer value, business impact, risk, effort, scalability and available capacity.
    • Establish project and product governance, including milestones, decision rights, risks, dependencies, testing, go‑live readiness and post‑implementation review.
    • Manage leadership reporting and partner collaboration to build trust and support across different sector support.
  • Commercial Analytics and Actionable Insights:
    • Lead the data operation building analysis of customer, sales, pricing, contract, product, market, supply, inventory and operational data to create trusted and decision‑ready commercial insights.
    • Develop analytics that support customer’s competitive advantage.
    • Translate complex findings into clear insights, recommendations and executive narratives that enable evidence‑based decisions to our commercial partners.
    • Establish and validate analytical methodologies, business rules, assumptions and controls to ensure outputs are accurate, explainable, reproducible and aligned with subject‑matter expertise.
  • Stakeholder Partnership and Capability Expansion:
    • Serve as a strategic partner to Commercial, Finance, Sales, Contract Management, Offer Development, Supply Chain, Digital, Data & AI, IT and Global Services stakeholders.
    • Lead discovery sessions, requirements gathering, design reviews and value‑realisation discussions to align priorities and drive adoption.
    • Manage stakeholder expectations, resolve cross‑functional issues, communicate risks and trade‑offs and build confidence in the team’s data, methods and solutions.
    • Identify opportunities to expand Customer Insights & Analytics across additional businesses, regions, customer segments and commercial use cases through scalable service offerings and reusable solutions.
  • Business Value and Performance Management:
    • Define and monitor KPIs covering revenue enabled, sales growth, stakeholder adoption, productivity, data quality, service performance and other business outcomes.
    • Develop transparent and defensible methodologies for measuring the commercial and operational value enabled by analytics and automation solutions.
    • Partner with Finance, Commercial and subject‑matter experts to validate assumptions, calculations and value attribution.
  • Prepare and present reports on progress, insights gained and the overall impact of the project on customer experiences and business outcomes.
What You Will Bring
  • A bachelor’s degree in data science, business analytics, information systems, engineering, finance or a related discipline; an advanced degree or relevant professional certification is an advantage.
  • Demonstrated experience leading analytics, business intelligence, automation or data‑transformation initiatives, including the delivery of measurable business outcomes.
  • Experience leading and developing multidisciplinary teams, managing priorities and building an inclusive culture of accountability, collaboration and continuous learning.
  • Strong commercial and business acumen; experience in MedTech, healthcare, life sciences or another complex highly regulated industry is preferred.
  • A track record of translating ambiguous business challenges and complex data into clear insights, practical recommendations and scalable solutions.
  • Strong stakeholder‑management and executive‑communication skills, with the ability to influence across business, finance, data and technology teams.
  • Working knowledge of data visualization, advanced analytics, automation, data governance and modern data platforms; familiarity with AI‑enabled solutions is an advantage.
  • A growth mindset, sound judgement and the ability to balance strategic thinking with disciplined execution in a fast‑changing environment.
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