Takeda
Website:
takeda.com
Company:
https://www.linkedin.com/company/takeda-pharmaceuticals
Seniority: Mid-Senior level
Industries: Pharmaceutical Manufacturing
Job details:
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
Job Description:
The Future Begins Here:
At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.
Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.
At Takeda’s ICC we Unite in Diversity:
Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team
OBJECTIVES/PURPOSE :
- Design the operating model for Medical Insights & Analytics in the India GCC, build the team and capability from the ground up, and run it as a scaled I&A factory across the full set of Medical capabilities
- Partner with the Medical Insights CoE lead to transform the function from report production to insight generation and decision support
- Collaborate with DD&T and shared service teams to build upon what already exists in enterprise, enhancing Medical-specific insights and analytical capability.
- Own and maintain data through insights foundation for Global Medical, across source systems, data products, and analytical products, enabling the architecture choices that make Medical data accessible, connected, and trusted
- Build and run a Medical I&A factory that delivers business enabling analytics including dashboards, recurring and retrospective reporting, and self-service outputs at a predictable quality, cost, and cycle time
ACCOUNTABILITIES :
Operating Model Design & Capability Build:
- Design the target operating model for Medical Insights & Analytics in the India GCC, including service catalogue, delivery model, roles and skill mix, decision rights, governance, ways of working with global stakeholders, and the internal versus vendor split.
- Build the team define the structure, hire and onboard data engineering, analytics, and visualization talent, set performance expectations, and develop and retain capability as the function scales.
- Stand up and scale the I&A factory across Medical capabilities, sequencing which capabilities onboard when, and transitioning work into steady-state delivery without disruption to global stakeholders.
- Own the business case, roadmap, and value narrative for the capability, and represent Medical I&A in GCC and Global Medical governance forums.
Data Platform, Source System & Architecture Ownership:
- Own Medical source systems, data pipelines, data products, and the supporting platform and architecture, including intake, data models, refresh schedules, access management, and lifecycle decisions.
- Set and maintain Medical data standards, definitions, metadata, and quality controls so that the same question is answered the same way across therapeutic areas, functions, and regions.
- Act as the Medical product owner for enterprise architecture decisions that affect Medical data, ensuring Medical requirements are represented in platform roadmaps, integrations, and technology investments.
- Maintain data governance, privacy, and compliance practices for Medical data in line with enterprise policy, including appropriate handling of regulated and third-party data.
I&A Factory Operations & Delivery:
- Build and run the Medical I&A team, covering dashboard production, recurring operational reporting, retrospective and ad-hoc analyses, and self-service enablement.
- Cover the full Medical analytics estate KOL and HCP identification, profiling, tiering and network analytics; MSL and field medical activity insights; scientific communications, publication and congress analytics (share of scientific voice, citation impact, abstract and publication tracking); medical information and inquiry trend analytics; omnichannel medical engagement reporting across digital, approved email, congress and virtual HCP touchpoints; and RWE/HEOR analytic support.
- Accountable for the quality, scientific rigor, timeliness and business relevance of all deliverables produced by the team, setting review standards for analytical soundness, internal consistency, scientific accuracy, compliance, and stakeholder readiness before outputs are released.
- Manage demand intake, prioritization, service levels, and capacity across the cross-functional delivery team; balance recurring production against high-value analytical work.
- Standardize, automate, and retire reporting where possible, using reusable templates, common data products, and AI-enabled tooling to improve cycle time, quality, and cost per output.
Insight Generation, Decision Support & Business Outcomes:
- Accountable for partnering with the Medical Insights CoE lead to turn Medical data into actionable insights that drive better decisions, improve portfolio performance, and demonstrate the impact of Medical on patients, healthcare providers, and the business.
- Prioritize insight generation and decision support alongside report production, ensuring every recurring output is tied to a business question, a decision, and an owner.
- Translate activity and output reporting into impact and outcome measures, and prepare decision-ready materials for Global Medical leadership covering trends, risks, trade-offs, and recommended actions.
- Track whether insights are used and what changed as a result, reporting adoption and value realization back to stakeholders and leadership.
Enterprise Partnership, Integration & Influence:
- Partner with DD&T, enterprise analytics, and technology teams to secure data access, integration, tooling, and platform support for Medical, operating through partnership and influence rather than direct authority.
- Integrate perspectives and data across Medical, R&D, Finance, DD&T, commercial, and external/third-party sources to create a connected enterprise view rather than a Medical-only picture.
- Serve as the single point of contact between Global Medical stakeholders and data, analytics, and technology partners; guide users on interpreting outputs and adopting data-driven ways of working.
Capability Leverage & Continuous Improvement:
- Build on capabilities that already exist in enterprise analytics and shared services, reusing platforms, methods, and expertise instead of creating parallel Medical infrastructure.
- Provide Medical-specific capability leadership and prioritization define what Medical needs, set the sequence, and hold partners and vendors to agreed outcomes.
- Grow the India GCC Insights & Analytics team's skills through coaching on KOL identification and network methods, scientific literature and citation analytics, publication and congress analytics, MSL insight synthesis, RWE/HEOR analytic methods, engagement metric design, business context and storytelling; support the transition of capability from vendor-led to internally owned delivery.
DIMENSIONS AND ASPECTS:
Technical/Functional (Line) Expertise (Breadth and depth of knowledge, application and complexity of technical knowledge):
- Strong expertise in data engineering or data platform ownership, including source systems, data models, pipelines, integration patterns, and enterprise architecture concepts applied to a business function.
- Proven experience running a reporting or analytics delivery operation at scale, covering dashboard production, retrospective reporting, service levels, and continuous improvement.
- Ability to combine that delivery discipline with insight generation, KPI design, and decision support so outputs lead to business outcomes, not just reports.
- Depth in Medical Affairs operating models, MSL workflows, scientific engagement strategy, publication and congress planning, medical information, and evidence generation, with a clear understanding of the compliance boundaries that govern Medical activity.
- Familiarity with KOL identification and network analysis, scientific text mining and NLP applied to literature and MSL notes, citation analytics and share of scientific voice methods, and the judgment to select the right approach for the business question and data available.
Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change):
- Leadership role accountable for designing the model, building the team, and running the I&A factory across Medical capabilities; sets direction for the capability in line with Global Medical and PIBO strategy.
- Recruits, develops, and leads a multi-disciplinary team, creating an environment where analysts grow business context, technical depth, and the confidence to challenge.
- Operates through partnership, influence, and cross-functional collaboration across time zones, aligning global stakeholders and enterprise partners without direct authority.
- Serves as a functional expert and thought partner on insights, analytics, performance measurement, and evidence-based decision support.
- Builds stakeholder confidence in data and analytics through clear communication, transparency, and practical enablement.
Decision-making and Autonomy (capacity and authority to make organizational decisions, autonomy, complexity, impact, problem-solving):
- Accountable for designing the I&A operating model and setting the capability roadmap, resourcing plan, and delivery standards within agreed Global Medical priorities and GCC parameters.
- Exercises judgment in translating incomplete or imperfect data into insights, options, recommendations, and escalation points.
- Balances stakeholder needs, portfolio priorities, data limitations, and resource constraints to support aligned execution.
- Recommends improvements to KPIs, reporting, methodologies, and decision-support approaches; escalates material risks and decisions to leadership as needed.
Interaction (span and nature of engagement with others):
- Partners closely with the Medical Insights CoE lead, Global Medical leadership and therapeutic area leads, DD&T, enterprise analytics and shared services, R&D, Finance, local operating companies, and external data and analytics vendors.
- Engages stakeholders to clarify business questions, agree data definitions and access, interpret outputs, and translate insights into practical action.
Innovation (knowledge sharing, innovation, and risk taking):
- Identifies opportunities to improve analytics, dashboards, performance measurement, data quality, and insight generation.
- Tests and scales practical improvements, including advanced analytics, AI and GenAI applied to KOL profiling, literature and congress monitoring, MSL insight synthesis, inquiry triage analytics and narrative generation, in partnership with relevant subject matter experts and with appropriate human validation.
Complexity (products managed, business environment, cultural considerations):
- Delivers globally from the India GCC across multiple time zones, with varying data maturity, fragmented source systems, and a mix of internal and vendor delivery resources.
- Integrates Medical, R&D, Finance, DD&T, and external data sources into a coherent enterprise view while navigating a regulated environment, privacy requirements, and cross-geography constraints.
EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS :
Experience:
- 10+ years of related work experience in the biopharmaceutical industry, consulting, or relevant strategy, insights, analytics, or operations roles, including experience leading teams.
- Hands-on experience owning data platforms, source systems, or data products, and running a reporting or analytics delivery operation (captive GCC, shared services, or vendor-managed); experience across medical analytics workstreams or RWE/HEOR support is strongly preferred.
- Track record of partnering with cross-functional teams and of influencing stakeholders in a global matrixed environment.
- Demonstrated experience designing an operating model and building a capability or team from the ground up, ideally in a GCC, captive centre, or shared services environment
- Demonstrated ability to run multiple high-priority workstreams simultaneously in a fast-paced, compliance-sensitive, matrixed environment spanning multiple therapeutic areas and time zones.
Technical skills:
- Working knowledge of modern data platforms and pipelines, data modelling, master data and metadata management, data cataloguing, and data quality frameworks.
- Proficiency in coding techniques such as SQL, Python or R for data manipulation, text analytics and workflow automation, sufficient to set standards and review the team's technical work
- Strong analytical and problem-solving skills, including data synthesis, forecasting, scenario analysis, trade-off analysis, and executive-ready communication.
- Strong dashboarding and visualization skills, plus practical familiarity with automation, AI copilots on governed data, and other AI-enabled analytics approaches.
- Ability to connect insights to practical business decisions, implementation plans, and measurable outcomes.
Education:
Bachelor degree required, preferably in life sciences, pharmacy, statistics, data science, public health, health economics, engineering, or a related quantitative or scientific field. Advanced degree such as MBA, MPH, PharmD, PhD or similar is strongly preferred. Relevant certifications in analytics, RWE/HEOR methods, cloud platforms, or project management are a plus.
Languages:
Fluent English required; additional languages advantageous.
Takeda Leadership Behaviours:
- Act with Integrity — deliver accurate, transparent work and take full responsibility for its quality.
- Collaborate Cross-Functionally — build productive partnerships across GCC, Global Medical, DD&T and local operating companies.
- Drive Accountability — own commitments end to end and hold the team and partners to agreed outcomes.
- Embrace Learning — continuously build analytical, scientific and domain capability in self and team through feedback and self-driven development.
Other Benefits: It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career.
Amongst our benefits are
- Second Shift Timing: 2 00 PM – 11 00 PM IST.
- Competitive Salary + Performance Annual Bonus
- Comprehensive Healthcare Insurance Plans for self, spouse, and children
- Group Term Life Insurance and Group Accident Insurance programs
- Employee Assistance Program
- Broad Variety of learning platforms
- Diversity, Equity, and Inclusion Programs
- Reimbursements – Home Internet & Mobile Phone
- Employee Referral Program
- Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)
ABOUT ICC IN TAKEDA:
- Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day.
- As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.
Locations:
IND - Bengaluru
Worker Type:
Employee
Worker Sub-Type:
Regular
Time Type:
Full time
Click on Apply to know more.
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