SAP MDG Techno functional Consultant

About the Position

SAP MDG Techno Functional Consultant

Date published: Oct. 13, 2026

Location: Halifax, NS - 6940 Mumford Rd / Canada

Job category: Digital

Work model: Hybrid

In this role, you will:

• Facilitate and support discovery, design, and validation workshops with Procurement, Accounts Payable, Treasury, Tax, Master Data, and IT stakeholders across the US, Mexico, and Brazil
• Capture as-is vendor and customer master processes for the acquired entity and design the harmonized to-be model in MDG
• Produce functional specifications, data dictionaries, and design decision logs; drive open items to closure
• Own source-to-target field mapping for supplier and customer master, including general data (name, address, communication, search terms), company code data (payment terms, payment methods, house bank, reconciliation account, withholding tax), purchasing data, partner functions, bank details, and tax identifiers
• Define transformation, derivation, defaulting, and validation rules; document exceptions and business rule ownership
• Configure MDG-S and MDG-C: data model extensions, change request types and workflows, BRF+ rules, derivations, UI configuration, duplicate check and match/merge, key and value mapping
• Set up data replication (DRF, IDoc, SOA services) to Ariba and the ERP; support key mapping across systems
• Work with the Ariba workstream on Supplier Lifecycle and Performance (SLP) registration and qualification flows, supplier requests, questionnaires, and Ariba Network account linkage
• Support integration through SAP Cloud Integration Gateway / SAP Integration Suite, including field mapping, error handling, and reconciliation between Ariba, MDG, and the ERP
• Profile legacy data; define and execute cleansing, enrichment, and de-duplication cycles with business data stewards
• Build and run extraction and load
• Support SIT, UAT, cutover, and hypercare; produce reconciliation reports and sign-off packs
• Help define the ongoing stewardship model, data ownership, SLAs, and SOPs
• Deliver training and knowledge transfer to the retained organization

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Canada. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

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Responsibilities

• Facilitate and support discovery, design, and validation workshops
• Capture as-is vendor and customer master processes
• Design the harmonized to-be model in MDG
• Produce functional specifications, data dictionaries, and design decision logs
• Own source-to-target field mapping for supplier and customer master
• Define transformation, derivation, defaulting, and validation rules
• Configure MDG-S and MDG-C
• Set up data replication to Ariba and the ERP
• Work with the Ariba workstream on Supplier Lifecycle and Performance (SLP)
• Support integration through SAP Cloud Integration Gateway / SAP Integration Suite
• Profile legacy data and define cleansing, enrichment, and de-duplication cycles
• Build and run extraction and load
• Support SIT, UAT, cutover, and hypercare
• Help define the ongoing stewardship model, data ownership, SLAs, and SOPs
• Deliver training and knowledge transfer

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Requirements

• Strong Techno – functional experience with 10+ years in SAP master data, with at least two full-lifecycle SAP MDG implementations covering MDG-S (supplier) and/or MDG-C (customer)
• Deep working knowledge of vendor and customer master structures - LFA1/LFB1/LFM1 and KNA1/KNB1/KNVV in ECC, Business Partner (BP) and BUT000/BP roles in S/4HANA
• Strong functional grasp of the P2P and O2C data that drives payment: payment terms, payment methods, blocking indicators, bank master, withholding tax, tolerance groups
• Hands-on SAP Ariba experience - SLP and/or Buying & Invoicing - including supplier onboarding flows and Ariba-to-ERP integration patterns
• Data migration experience at scale: profiling, mapping specs, load tooling, mock cycles, reconciliation
• Demonstrated ability to run workshops with senior business stakeholders and write specifications a developer can build from

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We Offer

• Competitive salary between CAD 100,000 – CAD 160,000 depending on experience and other qualifications
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• Long-term/Short-term Disability
• Paid Parental Leave

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About the Company

Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process, and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes, and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or follow us on Twitter.

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Things to Know Before You Apply

• Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
• Accommodations: If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
• AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
• Open position: Unless otherwise stated, this job posting is for an open position on our team.
• Language proficiency: We ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
• Inclusion: Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status, or any other characteristic protected by federal, provincial, or local laws.