Join to apply for theSenior Manager‑Master Data Managementrole atAccenture1 week ago – be among the first 25 applicantsLocationToronto / Ottawa / Calgary / Vancouver / MontrealWe AreAccenture Data & AI, the people who love using data to tell a story. We are also the world’s largest team of data scientists and experts in machine learning and AI. We solve big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services.You AreA curious leader who can connect and advise senior clients with storytelling and a strong data‑driven mindset. As a manager, you will be a coach to develop our up and coming leaders in their careers and a day‑to‑day leader of our diverse multi‑disciplinary workforce to solve our client’s data challenges.ResponsibilitiesDefining the master data architecture for cloud‑native master data management implementationLeading high‑impact master data management strategies (why, how, value, and approach) for our client’s senior leadership (SVP to C‑suite); leading small teams of motivated generalists and deep specialistsBeing a day‑to‑day leader and client‑relationship manager of diverse delivery teams working with clientsActing as a knowledgeable expert in master data management and data integration to advise clients and Accenture teams as a subject‑matter advisorDefining the master/reference data architecture for cloud‑native data management with expert level knowledge of popular cloud‑native MDM platforms (e.G., Informatica MDM SaaS B360/C360, Reltio, Tibco, etc.), data layers (raw, curated), integration design (APIs), ETL (Extract, Transform & Load), velocity (e.G., streaming), and Master and Reference Data architecture design patternsDefining the data architecture for cloud‑native data management focusing on business process flows including Master and Reference Data stewardship to support data consolidation, sourcing & lineage, Master and Reference Data modelling methodologies & tools,



and Master and Reference Data reference architecturesDefining the data architecture for cloud‑native data management focusing on data definitions & metadata, reference data management, master data management (core & critical business data entities), and data lineageDefining the data management vision & strategies, managing the change journey and/or acting as the “architect” to design and scale end‑to‑end data management with special focus on Data Quality Rules & KPIs, automated data cleansing (e.G., AI/ML), compliance rules & KPIs, data democratization, data security, and data‑access policiesQualificationsBachelor’s degree with excellent written and oral communication skills8 to 12 years of experience as a consultant or directly with clients in a role where you owned data assets, provided users with high‑quality data that is accessible consistently8 to 12 years facilitating data cleansing and enrichment through data de‑duplication and construction8 to 12 years of experience in processes such as data discovery, profiling, inventories8 to 12 years defining the data architecture for cloud‑native data management with expert level knowledge of popular cloud‑native MDM platforms (Informatica MDM SaaS B360/C360, Reltio, Tibco, etc.), data platform layers (raw, curated), data integration design (APIs), ETL, velocity (streaming) with tools such as IDMC/IICS, Boomi, etc., and Master & Reference Data architecture design patterns8 to 12 years defining the data architecture for cloud‑native data management focusing on business process flows, Master and Reference Data stewardship, sourcing & lineage, modelling methodologies & tools, reference architectures, data definitions & metadata, reference data management,



master data management (core & critical business data entities), and data lineage8 to 12 years defining data management vision & strategies, managing the change journey and acting as the “architect” to design and scale end‑to‑end data management with focus on Data Quality Rules & KPIs, automated data cleansing, compliance rules & KPIs, data democratization, data security, and data‑access policies8 to 12 years performing ad‑hoc data extraction and archival; managing data life cycleProficiency in data storage tools & techniques, data archiving patterns & techniques, cloud backup architecture and design, data warehouse tools, data conversion & migration, Master Data Management, Metadata Management, network data management protocol (NDMP), Informatica MDM, data integration, SDLC, data modelling techniques & methodologies, database management, database technical design & build, ETL tools, cloud data architecture, data architecture principles, SAS DataFlux ETL tools, online analytical processing (OLAP), and data architecture estimationEnglish is required for this position; the role regularly interacts with stakeholders across Canada, the US, and other countries where English is the common languageBonus PointsExpertise in Hadoop, MapReduce, Spark, Pig, Hive technologies, data ingestion in data lake, data storage on key cloud providers (AWS, Azure, GCP), data retrieval on Big Data platforms, and interfacing data science & visualization tools on Big Data platformsExperience in data modelling, Big Data platforms (e.G., Cloudera, Hortonworks, AWS, Talend, etc.), data migration and quality using ETL (e.G., Informatica IDMC/IICS), MySQL/NoSQL, CQRS, event sourcingCompensationCompensation varies based on factors such as office location, role, skill set, and experience. The base pay range is provided as a guideline for this role and is not a maximum limit. Seeinformation on advantages .Location & Salary RangeBritish Columbia / Ontario: $108,800 – $220,400 FY25Senior Manager – Mid‑Senior level, Full‑time, Information Technology, Business Consulting and Services#J-18808-Ljbffr

📌 Senior Manager-Master Data Management - $108,800 - $220,400 A Year (Toronto)
🏢 Accenture
📍 Toronto