Senior Manager - Strategy & Business Performance

AstraZeneca; India; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

AstraZeneca in Bangalore seeks a Senior Manager - Service Performance, Insight & Data to lead enterprise performance management initiatives. You will design KPI structures, scorecards, and governance frameworks, partnering with analytics, operations and finance to turn data into decisions.

From Day One you will set standards, develop dashboards, and drive improvements across services and hubs, applying AI and automation concepts to boost productivity and value for science and patients.

Qualifications

• 9–14 years of experience in enterprise performance management or data analytics.
• Experience designing KPI structures, scorecards and governance frameworks.
• Ability to translate business goals into measurable performance indicators.
• Strong data analytics, data lineage and data quality understanding.
• Familiarity with AI and automation concepts to boost productivity.

Responsibilities

• Build and evolve the GBS performance oversight system.
• Define benchmark standards across functions, regions and leadership levels.
• Translate needs into requirements for scorecards and dashboards.
• Improve data quality, ownership and reporting controls.
• Prepare recurring review cycles and manage action tracking.
• Engage stakeholders to validate insights and drive improvements.

Skills

Performance management

KPI design

Dashboards

Data governance

Analytics

Stakeholder engagement

Root-cause analysis

AI concepts

Job description

Job Title: Senior Manager - Service Performance, Insight & Data

Career level: E

Introduction to role:

Are you ready to turn performance data into decisive action that accelerates value across a global enterprise? Do you see patterns in KPIs that others miss, and translate them into clear standards, sharper priorities and measurable outcomes?

Based in Bangalore, you will be part of the GBS Service Excellence & Performance team within the COO organization. You will assist in shifting GBS from activity reporting to performance management. This change aims to drive better decisions, increase efficiency, and enhance business. Your work will develop how performance is measured, governed, reviewed, and improved across services, towers, hubs, and transformation initiatives. This effort will help AstraZeneca move faster, operate smarter, and free up more time and resources for science and patients. atients.

You will work closely with operations, analytics, technology, and finance to define the performance framework. You will challenge anything that does not support decision-making. You will build trusted, explainable repoFrom day one, you will set standards, build scorecards and bring external perspectives that improve service health, client results and utcomes and enterprise value.

Accountabilities:

• Performance Management Framework and important metric Governance: Build, embed and evolve the GBS performance oversight system. Define principles, review rhythms, standard formats and governance routines that drive accountability and improvement. Own the benchmark Catalogue standards across functions, divisions, regions, and leadership levels-clarifying benchmark purpose, ownership, data origins, computation methods, targets, thresholds and reporting frequency. Identify duplication or gaps and simplify where it adds clarity and value.
• Scorecards, Dashboards and Performance Views: Translate business needs into clear, actionable requirements for scorecards and dashboards. Partner with reporting, analytics and technology teams to build user-focused views that highlight service health, performance trends, risks, customer outcomes and efficiency improvements. Rationalise fragmented reports and challenge outputs that do not enable decisions or actions.
• Data and Reporting Governance: Improve the quality, reliability and consistency of performance data. Set expectations for data ownership, lineage, origins, computational methods, reporting controls and data quality. Work across GBS Services, Process & Analytics Services, Finance and other partners to resolve data gaps and conflicting definitions. Ensure reporting is explainable, governed and fit for decision-making.
• Enable Performance Review Cycles: Prepare and continuously improve recurring review cycles, including COO reviews, QBRs, monthly leadership and hub reviews. Define standard packs and insight formats that help leaders quickly understand performance, root causes and actions. Track actions and blocking issues so insights turn into visible progress.
• Insights, Benchmarking and external Data Advisory: Convert business questions into structured insight requests. Synthesize internal data, collaborator input and external benchmarks (such as Hackett or a comparable source) to reveal performance gaps, maturity differences and efficiency opportunities. Interpret benchmarks in context and translate findings into practical improvement plans.
• Stakeholder Engagement and Senior Influence: Build strong relationships across GBS, transformation teams and enabling functions. Facilitate workshops to define needs, validate insights and agree actions. Communicate complex topics in a clear, structured way and challenge constructively to keep focus on measurable outcomes, business value and sustainable improvement.

Essential Skills/Experience:

• Relevant experience (9 - 14 years) demonstrating a successful history in enterprise performance management or data & analytics.
• Proven track record designing or improving performance management frameworks, KPI structures, scorecards, dashboards or management reporting.
• Strong understanding of benchmark building, performance governance, target setting, performance review routines and benefits measurement.
• Experience translating business objectives into performance measures, insight requirements and decision-support materials.
• Strong analytical and problem-solving skills, with the ability to structure ambiguous business questions and convert data into practical recommendations.
• Solid understanding of data and analytics fundamentals, including data flows, data points, data sources, data models, data architecture, data lineage and concepts related to data accuracy and integrity.
• Ability to work effectively with analytics, reporting, technology and operational teams to define requirements and improve performance reporting.
• Practical working knowledge of AI, generative AI and automation concepts, with an understanding of how these can improve productivity,