Introduction to role:
Are you ready to turn enterprise data into critical action with SAP Analytics Cloud and Datasphere? Step into a high-impact role where your leadership will shape how insights flow to decision makers and, ultimately, improve outcomes for patients and our business!
You will lead end-to-end delivery of advanced data analysis systems that harmonize data, standardize reporting, and bring predictive capabilities to life. Working within an agile, outcomes-focused team, you’ll connect strategy to execution—guiding solution design, coaching engineers, and ensuring adoption of dashboards and applications that matter to the enterprise.
Based in Bangalore (Hybrid) on a permanent basis, you will be empowered to lead the end-to-end journey from requirements to value realization. Do you thrive in a fast paced environment where you can set a vision, roll up your sleeves when needed, and see tangible results in how the business operates?
Solution Design and Delivery: Lead the design and hands-on delivery of analytic applications, interactive dashboards, and benchmark models using SAC and Datasphere for import and live scenarios—ensuring solutions are scalable, secure, and governed.
Build unified, harmonized data models in Datasphere. Use SAP BDC to improve data handling, connection, and process automation. This unlocks enterprise analytics at scale.
Integrated Analytics: Connect, model, and harmonize data from SAP and non-SAP sources to enable cross-system analytics through SAC; integrate SAC dashboards with Datasphere datasets for consistent, up-to-date insights.
Advanced Reporting and UX: Design comprehensive, multi-tab reports with queries, visualizations, and drill-downs; champion standard processes in data visualization, accessibility, and user experience to drive adoption.
Customization and Performance: Orchestrate data automation in Datasphere and customize SAC applications using JavaScript and other scripting languages; continuously optimize performance, remove bottlenecks, and recommend enhancements.
Predictive and Advanced Features: Drive adoption of SAC predictive scenarios, Smart features, R-visualizations, and external libraries to create immersive, insight-rich user experiences that inform smarter decisions.
Team Leadership and Coaching: Coordinate delivery teams and handle junior developers across the lifecycle; mentor and coach team members, build robust ways-of-working, and uphold software quality and documentation standards within agile and scrum environments.
Collaborator Engagement and Change Adoption: Collaborate closely with business collaborators and product owners to assemble requirements, set clear expectations, and ensure engagement throughout delivery; translate complex needs into integrated analytics solutions that support end-to-end processes and deliver measurable business value.
Delivery Governance and Impact: Own delivery timelines and outcomes, ensuring solutions move from concept to sustained adoption and measurable impact—progressing from immediate wins to enterprise-scale influence.
- Degree in Computer Science, Business Informatics, or a related field.
- 10–15 years of relevant experience, with at least 2–3 years as a Senior Consultant or in a comparable SAP SAC/Datasphere-focused role.
- Understanding of SAP Finance and/or Operations processes (valued).
- Proven experience designing, implementing, and delivering SAC solutions for reporting, including integration with SAP Datasphere.
- Validated hands-on experience with SAP Datasphere and SAP BDC for data management, integration, and automation.
- Expertise in SAC predictive functionality, Smart features, advanced story canvases, data blending, cross-calculations, input controls, and linked analysis.
- Advanced skills in connecting SAC/Datasphere to SAP HANA and other external databases.
- In-depth knowledge of data integration and ETL processes across SAC, Datasphere, and related analytics platforms.
- Advanced coding and scripting abilities in SQL, Python, and JavaScript for dashboard customization and data automation.
- Experience with SAC scripting for custom widgets, analytics applications, and automated data flows in Datasphere.
- Strong background in overseeing team management, coordinating worksheets, handling delivery, and mentoring team members within agile environments.
- Experience collaborating across various business teams to translate requirements into robust analytical solutions.
- Excellent interpersonal skills, strong analytical and problem-solving capabilities, and ability to thrive in an agile, dynamic environment.
- Upbeat, organized, and self-motivated approach to work.
- Fluency in business English.
- Understanding of SAP Finance and/or Operations processes (valued).
- Certification in SAC Data Analyst, Data Engineer, Low-Code/No-Code Developer, or related (appreciated).
Join a global, digitally savvy team where accountability and ambition go hand in hand with support and perseverance. You’ll work at the intersection of modern technology and real-world impact, where unexpected teams come together in the same room to unleash bold thinking and convert ideas into outcomes. Here, you will own meaningful problems, use modern tools to accelerate change, and see the direct link between your work and how the enterprise serves patients worldwide. With the freedom to speak up, the inspiration to experiment, and the momentum to see things through, you will grow your craft and your influence while giving to a mission with purpose.
Lead the next wave of enterprise analytics—bring your SAP SAC and Datasphere expertise to AstraZeneca and create solutions that move decisions, the business, and patient impact forward today!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Date Posted
30-Oct-2026Closing Date
13-Nov-2026AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
Skills Required
- Degree in Computer Science, Business Informatics, or a related field
- 10-15 years of relevant experience
- At least 2-3 years as a Senior Consultant or in a comparable SAP Analytics Cloud/Datasphere-focused role
- Experience designing, implementing, and delivering SAP Analytics Cloud reporting solutions integrated with SAP Datasphere
- Hands-on experience with SAP Datasphere and SAP Business Data Cloud for data management, integration, and automation
- Expertise in SAP Analytics Cloud predictive functionality, Smart features, advanced story canvases, data blending, cross-calculations, input controls, and linked analysis
- Advanced skills connecting SAP Analytics Cloud and Datasphere to SAP HANA and external databases
- In-depth knowledge of data integration and ETL processes across SAP Analytics Cloud, Datasphere, and related analytics platforms
- Advanced coding and scripting skills in SQL, Python, and JavaScript
- Experience with SAP Analytics Cloud scripting for custom widgets, analytic applications, and automated Datasphere data flows
- Experience managing teams, coordinating delivery, and mentoring team members in agile environments
- Experience collaborating with business teams to translate requirements into analytical solutions
- Strong interpersonal, analytical, problem-solving, organizational, and self-management skills
- Fluency in business English
- Understanding of SAP Finance and/or Operations processes
- Certification in SAP Analytics Cloud Data Analyst, Data Engineer, Low-Code/No-Code Developer, or related area
AstraZeneca Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AstraZeneca and has not been reviewed or approved by AstraZeneca.
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Fair & Transparent Compensation — Pay is considered competitive across many roles when total rewards are factored in. Senior scientific and leadership bands are described with high ranges that reinforce competitiveness at upper levels.
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Strong & Reliable Incentives — Bonuses, equity eligibility in many salaried roles, and solid sales on‑target earnings with upside are emphasized as meaningful parts of compensation. These elements boost overall value even where base pay is not the very highest.
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Retirement Support — A 401(k) program with a strong company match and immediate vesting is repeatedly cited as a standout. Generous retirement support is viewed as enhancing the total package relative to peers.
AstraZeneca Insights
What We Do
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