Job Description

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ROLE OBJECTIVE

• Lead the Data Excellence function across the Region, providing strategic direction, people leadership and performance oversight for Data Excellence Managers who are each responsible for data excellence delivery within their assigned Cluster.
• Set the regional data excellence agenda and operating model across multiple Clusters, ensuring Data Excellence Managers are aligned to clear priorities, consistent ways of working, measurable outcomes and effective stakeholder engagement across LOCs, IBU and ICC/GCC.
• Accountable for local integration and scaling of global data products (e.g. Marketing Mix Modelling, Next Best Action, mAI Access etc.) by orchestrating team delivery, removing barriers and ensuring analytical outputs are contextualized for local business decisions.
• Own the regional data excellence roadmap across multiple Clusters, prioritizing data stewardship, quality improvement, EDB ingestion, documentation and enablement activities, while ensuring Data Excellence Managers deliver trusted, consumable and actionable data capabilities within their respective Clusters.
• Act as the senior data excellence ambassador for the Region, building data and technology fluency across Cluster and LOC leadership teams, and coaching Data Excellence Managers to drive adoption through practical enablement within their Clusters.

KEY ACCOUNTABILITIES

• Lead and develop Data Excellence Managers across the Region. Provide line management, coaching, prioritization and performance guidance to Data Excellence Managers who are accountable for data excellence delivery within their assigned Clusters, ensuring clear objectives, balanced workloads, effective development plans and consistent delivery standards across the Region.
• Set and govern the regional data excellence agenda. Translate IBU and global priorities into a practical regional roadmap across multiple Clusters, define common ways of working, establish delivery governance and ensure progress is transparent to senior regional and Cluster stakeholders.
• Accountable for data stewardship across the Region. Ensure each critical dataset has clear ownership, definitions, usage guidance and steward routines, with Data Excellence Managers driving Cluster and market-level reviews, issue triage and follow-through.
• Lead consistent local implementation of global data standards. Oversee alignment of local field names, values, mapping tables and documented exceptions to global definitions, ensuring local data remains interoperable with global products and analytics.
• Orchestrate scaling and adoption of global data and analytics products. Direct team activities for local onboarding, dataset readiness, validation, user access, troubleshooting and adoption support for products such as Marketing Mix Modelling, Next Best Action and mAI Access.
• Partner with senior cross-functional stakeholders to translate analytics into action. Engage commercial, medical, access, digital and analytics leaders to shape priorities, resolve trade-offs, validate assumptions and ensure insights are applied in meaningful business decisions.
• Partner with ICC/GCC for scalable delivery. Act as the regional escalation and coordination point for DD&T products and services, ensuring requirements are clear, delivery dependencies are managed and implementation is embedded consistently across Clusters and local ways of working.
• Own data quality performance and remediation governance. Establish recurring quality monitoring across completeness, accuracy, consistency and timeliness, review root causes and trends, and ensure remediation is prioritized and executed through the team and source system SMEs.
• Ensure data documentation is complete, current and usable. Set expectations for data dictionaries, dataset descriptions, lineage notes, refresh frequency, business rules and usage guidance, and ensure consistent quality across markets and products.
• Direct data integration and EDB ingestion delivery. Prioritize source onboarding, profiling, extraction requirements, transformation logic, validation rules and publishing steps, ensuring delivery is coordinated across Data Excellence Managers, ICC/GCC and local SMEs.
• Build data fluency and adoption across LOCs. Sponsor and guide practical enablement, including training sessions, office hours, playbooks and examples, while coaching Data Excellence Managers to embed confident and consistent data usage in day-to-day work.

DESIRED BEHAVIOUR

• Provides clear people leadership, coaching and direction to Data Excellence Managers, creating a high-performing team environment with shared standards and accountability for outcomes.
• Motivates and influences others across functions and levels, gaining support for ideas and translating them into implementation through team members and cross-functional partners.
• Operates confidently in ambiguity, bringing structure to complex situations, making prioritization decisions and enabling the team to progress from alignment to practical execution.
• Builds collaborative partnerships across functions and roles, leveraging formal and informal networks to deliver outcomes, remove barriers and embed change at scale.
• Has strong communication and influencing skills, with the ability to represent the Data Excellence agenda clearly to senior stakeholders and translate it into actionable team priorities.
• Leads through others while remaining close enough to delivery to understand practical challenges, guide decisions and support adoption across markets.
• Demonstrates extensive expertise, passion and understanding of data sources, especially the Customer Data domain within Takeda, and uses this knowledge to coach the team and shape better outcomes.
• Has knowledge, understanding and passion for Agile ways of working, with the capability to lead, implement and role-model practical delivery behaviours across a team.

COMPETENCIES and EXPERIENCE REQUIREMENTS

• 10+ years of experience in data and analytics, including demonstrated experience leading teams or managing direct reports in a data, analytics, governance or digital environment.
• Proven ability to set direction, prioritize work and manage delivery through multiple Data Excellence Managers, each responsible for one or more Clusters, across a broader Region.
• Excellent understanding of Takeda Technology, Data eco-system and Data architecture
• Preferable LOC experience and strong understanding of how local teams operate, including the ability to coordinate priorities across multiple LOCs.
• Ability to translate between technical and non-technical language and to communicate effectively with both senior business stakeholders and technical delivery teams.
• Knowledge of Takeda MarTech and Salesforce tech stack and data modelling
• Strong working knowledge of SQL, R, Python or equivalent analytics tooling, with sufficient depth to guide technical teams and challenge delivery quality.
• Hands-on working knowledge of Databricks, Power BI and data modelling
• Knowledge of ETL, APIs and how to connect to databases.
• Technical knowledge of different digital channels including web, apps, surveys
• Strong project management, change management and stakeholder management experience, including delivery through others.
• Knowledge, experience and know-how of all data sources (customer, financial, patients, etc.) and underlying data structures

Locations

IND - Bengaluru

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Locations

IND - Bengaluru

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time