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Form of workJob Description
Data Governance Sr Manager
Location: Toronto/Ottawa/Calgary/Vancouver/Montreal
We Are:
Applied Intelligence, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving 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 do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services.
You Are:
A curious leader who can connect and advise senior clients with storytelling and 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 workforces to solve our client's data challenges.
As a Senior Manager-MDM, you will apply deep delivery acumen for data driven engagements, architecting value, and operating model architecture skills to influence client agendas through business insight in a data driven reinvention and culture. You will partner with our clients to make bold decisions on priority C-Suite issues at the intersection of business, technology, and operations within a complex data management landscape.
You will provide deep understanding of our clients' industry landscape and options to mature data management practice from people, process, and technology in the context of global, economic, technology and social trends.
What you'll be doing:
Defining the master data architecture for cloud native master data management implementation
Leading high impact master data management strategies (why, how, value, and approach) for our client's senior leadership in their data organization (SVP to C-suite); leading small teams of motivated generalists and deep specialists
Being a day-to-day leader and client relationship management of diverse delivery, teams working with clients
Acting as knowledgeable expert in master data management and data integration to advise clients and Accenture teams as a subject matter advisor.
Defining 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 (e.g. raw, curated), Integration design (e.g. APIs), ETL (Extract, Transform & Load), velocity (e.g. streaming), Master and Reference Data architecture design patterns
Defining the data architecture for cloud native data management with focus on Business process flows including Master and Reference Data stewardship to support data consolidation, sourcing & lineage, Master and Reference Data Modelling methodologies & tools, Master and Reference Data Reference Architectures
Defining the data architecture for cloud native data management with focus on (Business) Data Definitions & Metadata, Reference Data Management, Master Data Management (core & critical business data entities), Data Lineage
Defining the data management vision & strategies, managing the change journey and/or playing serving 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. use of AI / ML), Compliance Rules & KPIs, Data democratization, Data security, Compliance & security policies for data access, use & integration
Qualifications
Here's what you need:
Bachelor's degree with excellent written and oral communication skills
8 to 12 years working as a consultant or directly with clients in a role where you took ownership of the data assets for the organization to provide users with high-quality data that is accessible in a consistent manner.
8 to 12 years facilitating Data cleansing and enrichment through data de-duplication and construction.
8 to 12 years of experience in processes such as data discovery, profiling, inventories.
8 to 12 years in a role that involved defining the data architecture for cloud native data management with expert level knowledge on Popular Cloud native MDM Platforms (e.g. Informatica MDM SaaS B360/C360, Reltio, Tibco etc.), Data Platform Layers (e.g. raw, curated), Data Integration design (e.g. APIs), ETL (Extract, Transform & Load), velocity (e.g. streaming) with tools such as IDMC/ IICS, Boomi etc, Master & Reference Data architecture design patterns
8 to 12 years in a role that involved defining the data architecture for cloud native data management with focus on Business process flows including Master and Reference Data stewardship to support data consolidation, sourcing & lineage, Master & Reference Data Modelling methodologies & tools, Reference Architectures, (Business) Data Definitions & Metadata, Reference Data Management, Master Data Management (core & critical business data entities), Data Lineage.
8 to 12 years in a role that defined, the data management vision & strategies, managing the change journey and/or playing serving 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. use of AI / ML), Compliance Rules & KPIs, Data democratisation, Data security, Compliance & security policies for data access, use & integration
8 to 12 years performing ad-hoc Data extraction and archival; Managing Data life cycle.
Experienced 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 Management and Integration, Systems Development Lifecycle (SDLC), Data Modeling Techniques and Methodologies, Database Management, Database Technical Design and Build, Extract Transform & Load (ETL) Tools, Cloud Data Architecture, Data Architecture Principles, SAS DataFlux ETL Tools, Online Analytical Processing (OLAP), Data Processes, Data Architecture Principles, Data Architecture Estimation
English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.
Bonus points if:
Expertise in using Hadoop, MapReduce, Spark, Pig, Hive technologies, Data Ingestion in Data Lake, Data Storage on key Cloud providers (AWS, Azure, GCP), Redshift, Data Retrieval on Big Data platforms and Interfacing Data Science and Data Visualization tools on Big Data platforms
Experience in Data Modeling, 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 Sourcing
