Want to know if this job is worth applying to?
Chennai Corporation, Tamil Nadu, India
Onsite
Role Title: Lead Consultant - Senior Data Product/Planner
Location: Chennai
We are one purpose-led global organisation. The enablers and innovators, ensuring that we can fulfil our mission to push the boundaries of science and discover and develop life-changing medicines. We take pride in working close to the cause, opening the locks to save lives, ultimately making a massive difference to the outside world.
AstraZeneca (AZ) is in a period of strong growth and our employees have a united purpose to make a difference to patients around the world who need both our medicines and the ongoing developments from our science. In this journey AZ must continue to work across borders and with partners and new colleagues in a fast and seamless way. The ambition, size and complexity of the organisation, coupled with the opportunities afforded by new technology, has led the Board to approve a large-scale transformation programme – Axial.
The Axial Programme will be powered by S/4HANA a new ERP (Enterprise Resource Planning) system which will be implemented right across the organisation and will provide our business with standardised processes, enhanced financial management, common data and real time reporting, transforming the way we work through our entire supply chain - from bench to patient.
The new system will be used by more than 20,000 employees daily, is foundational to all AZ entities and is central to most core business processes. This is a once in a generation programme for AstraZeneca and will shape our ways of working globally for many years to come.
The Axial programme needs the best talent to work in it. Whether it’s the technical skills, business understanding or change leadership, we want to ensure we have the strongest team deployed throughout. We are aiming to deliver a world class change programme that leaves all employees with a fuller understanding of their role in the end-to-end nature of our global company. This programme will provide AZ with a competitive edge, to the benefit of our employees, customers and patients.
We are seeking a passionate Data Product/Planner to lead planning and execution of data load and associated activities that enable high‑quality data products for digital, analytics, and AI at AstraZeneca. Initially focused on the Enabling/Finance and operations domain, you will own strategies, hiring resource, vendor management, hands‑on delivery for data remediation, data cleansing, data design, and data loading across Non‑SAP and SAP‑adjacent ecosystems. You will coordinate closely with the Enterprise Data Office to ensure data is appropriately defined and governed, and work with engineering, business data governance, data analysis, and enterprise architecture to drive measurable business value.
What you’ll do
Lead project lifecycle: planning, execution, testing, cutover, and release.
Use Jira to handle epics, stories, workflows, dashboards, and sprint planning.
Drive project governance, risk management, and partner communication.
Coordinate with business users, vendors, and PMO on delivery milestones.
Work with business & IT partners to understand the business and data requirements.
Experience in source to target mapping, Data Gaps, Data Profiling and Impact Assessment.
Interpret data, analyze results and provide quick data analysis.
Identify, analyze, and interpret trends or patterns in complex datasets.
Defines data modelling standards and applies within all work products.
Locate and define new process improvement opportunities.
Essential for the role
Resource Planning: Experience in hiring and planning resources for data product design, delivery, and transition into future BAU organisations.
Support the Data Product Strategy Planning: Solid understanding of planning for data product design, data modelling, and domain-specific implementation, with hands-on experience in delivering data solutions.
Manage the Data Hub Remediation, BTG Coordination, and Vendor Management: Experience in understanding data hubs, conducting mapping and design reviews, coordinating with BTG, handling vendors, and providing approval recommendations for remediation activities.
Data Load Strategy Management (Non-SAP): Experience working with non-SAP BAU teams, arranging workshops, and defining non-SAP data migration and load strategies, including waves, sequencing, initial and delta loads, and rollback plans.
Load Execution: Prepare the Data load summary report, Hands‑on preparation of load files, transformation specifications, and reconciliation approaches; strong defect management and data validation discipline.
Tooling: Experience collaborating with ADM/Syniti (or equivalent) for data migration, quality, and governance; ability to guide mapping, rules, and automation. Snowflake to define plans to create data models. Collibra to define the plans to configure data lineage. ETL tools like Talend to define plans to deliver the Data Pipelines.
Cross‑Functional Coordination: Effective collaboration with Data Design, Business Partners/Analysts, BTG BAU, and engineering teams to land changes safely.
SAP Data Structures (Finance): Solid understanding of SAP data structures in areas such as Record to Report, Enterprise Planning & Management Reporting, Sales & Distribution, Procurement, ESG.
Architecture & Governance: Delivery of Data Design/architecture, MRDM, data strategies, and information/data governance in complex environments.
Enterprise Frameworks: Experience working within an Enterprise Data Architecture Framework, benchmarking against leading practices, models, and standards.
Design & Analysis: Ability to convert business requirements into data models, processing designs, mappings, and profiling outputs with clear lineage.
Master & Metadata: Experience designing master data solutions/strategies and applying metadata standards across domains.
Communication & Consultancy: Excellent written and verbal communication; strong partner engagement and consultancy skills.
Delivery Oversight: Blend of data architecture and analysis with oversight of implementation within engineered solutions.
Industry Experience: Exposure to relevant domains such as Pharma, R&D, Manufacturing, Commercial, Finance, HR, Legal, Facilities.
Desirable for the role
Understanding of SnapLogic, MuleSoft, Snowflake, Colibra, Talend and ADM Syniti.
Experience running a data architecture governance function.
Experience coaching junior analysts and guiding team members to build skills for future business (data) transformation
Why AstraZeneca?
At Astrazeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.
So, what’s next?
Are you already imaging yourself joining our team? Good, because we can’t wait to hear from you.
Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and hope its yours
If you’re curious to know more then we welcome your application. Apply now!
Where can I find out more?
Our Social Media
Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
Date Posted
03-Jul-2026Closing Date
AstraZeneca 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.