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Data Steward, SAPAC (contract)

Getinge getinge.com Open
Mumbai Mid-level Data Architecture & Governance

At a glance

Mid-level Data Architecture & Governance role at Getinge. Mumbai.

Pay not stated Data Architecture & Governance salary

RoleData Architecture & Governance
SeniorityMid-level
LocationMumbai
PostedOct 2, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Check sampled prices after each upload and flag differences from the approved price file for correction
  • Reconcile spare-parts prices with transfer costs, check other pricing records, and report contract renewals and maintenance completion
  • Audit customer records, service contracts, warranties, and contract fields to find missing or inaccurate data
  • Correct and load SAP records for assigned markets, with business-owner approval and required reviews
  • Log each change and its approver, track turnaround, and report likely process, ownership, or system causes

What you bring

  • Four to eight years in data operations, master-data upkeep, finance operations, order management, or another listed function
  • Hands-on SAP record maintenance across at least two areas, such as customer data, pricing, or service contracts
  • Advanced Excel skills for lookups, pivot tables, and reconciliations
  • Clear written and spoken English, with the ability to explain exceptions to colleagues in other countries

Who this fits

This Mumbai-based contract role suits someone who is methodical with large record sets and investigates why data errors happen. You’ll work across cultures and time zones with colleagues who do not report to you. From month six, a gated second phase may add India performance reporting and scoped account-history requests.

From the employer

With a passion for life

Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge we exist to make life-saving technology accessible for more people. To make a true difference for our customers – and to save more lives, we need team players, forward thinkers, and game changers.

Are you looking for an inspiring career? You just found it.

Please Note - This is a 24-month contractual position

Job Purpose

The Data Steward is the operational execution lead for commercial data quality across SAPAC, supporting the Data Coordinator and the respective business data owners. The role performs recurring data verification, audits, sampling and correction activities, directly supports designated markets, and produces the reporting required to identify and resolve data quality issues — flagging the underlying cause of each issue so that it can be addressed at source.

Output: accurate data, completed corrections under owner approval, managed exceptions, root causes flagged, and timely data quality reporting.

Key Responsibilities

Recurring verification and reporting (all markets, under the agreed allocation)

  • Post-load price verification after every price load: sample SKUs against the approved price file and flag mismatches for correction (accuracy — distinct from the Data Coordinator's quarterly audit of timeliness)
  • All cost-to-price reconciliation: spare parts each price-increase cycle (selling price versus current transfer price per part, flagging negative or below-threshold margins) and completeness checks on capital and consumables reconciliation
  • Monthly contract-expiry report per market: contracts expiring within 90 days with no renewal action, and the on-time renewal rate
  • Monthly preventive-maintenance completion reporting using the regional tracker template
  • Quarterly customer-master-to-pricing audits where applicable: affiliations, hierarchies and classifications that drive pricing conditions
  • Quarterly customer master hygiene runs: duplicate detection, entity and payer verification, classification checks
  • Quarterly point-of-sale service-contract reconciliation and warranty-versus-installation allocation sampling
  • Rotating monthly contract-record completeness sampling by market (expiry, pricing and coverage fields)
  • For every recurring exception, record the likely underlying cause (process, ownership, system) alongside the correction, so patterns can be addressed by the Data Coordinator and the business owner

Direct execution for designated markets (primary executor)

  • Prepare, validate and load price files into SAP for designated markets — reviewed by the Data Coordinator, verified and signed off by the market's Finance Director
  • Execute installed base corrections and cleansing, customer master de-duplication and corrections, and contract-record completion, each under business-owner approval
  • Capture point-of-sale service contracts into the portfolio and maintain preventive-maintenance tracking where local capacity is limited
  • Enter and maintain distributor installation and end-customer data received under the regional collection standard
  • Keep the execution log: every change, its approving data owner, and turnaround — reported to the Steering Committee via the Lead

Installed base (all markets)

  • Execute the corrections arising from the installed base accuracy programme coordinated by the Data Coordinator; maintain the underlying data for the country accuracy score

Support and enablement

  • Handle hands-on support requests from non-designated markets — price-file validation, IB corrections, de-duplication — logged and reported, with the Steering Committee managing the balance against verification work
  • Maintain the single current repository of data SOPs using existing global platforms (GetBasic, GetLibrary, GetQMS, the Finance Manual) rather than local copies
  • Produce one-page filter, currency and refresh-cycle guides for the global dashboards and support market training

Phase 2 (from month 6, gated)

  • Zone and region performance reporting for India, building on work already under way with the Service Director
  • Account-history and customer summary requests for sales and service teams, once scoped by the Steering Committee

Requirements

Must have:

  • 4–8 years in data operations, master data maintenance, finance operations, order management or service administration
  • Hands-on SAP experience in at least two of: customer master, material master, pricing conditions, equipment and service-contract records — including creating and maintaining records, not only reporting on them
  • Advanced Excel (lookups, pivots, reconciliations); Power BI a strong advantage
  • Meticulous attention to detail and the persistence to work through large record sets methodically
  • The habit of asking why an error occurred — able to recognise when a data problem is really a process or ownership problem, and to say so
  • Good written and spoken English; able to explain an exception clearly to a colleague in another country
  • Comfortable working across cultures and time zones with people who do not report to you

Good to have:

  • An analytics background or interest — the role has a Phase 2 pathway into reporting and analytics work
  • Medical-device, pharmaceutical or other regulated-industry experience
  • Exposure to service-contract or installed-base administration
  • Experience with distributor or channel data

About us 

With a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and solutions aiming to improve clinical results and optimize workflows. The offering includes products and solutions for intensive care, cardiovascular procedures, operating rooms, sterile reprocessing and life science. Getinge employs over 12,000 people worldwide and the products are sold in more than 135 countries.

Reasonable accommodations are available upon request for candidates taking part in all aspects of the selection process.

Opportunity

Data Architecture & Governance work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Architecture & Governance

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Architecture & Governance work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.