Manager data – SÉNIOR

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Data/ML/AI Engineering
  • data governance practices and data management
  • metadata management
  • DG Frameworks
Veuillez noter que ce profil est hors grille
The Data Management Specialist is a core member of the Data Governance Team. The mandate of the team is to define and implement data governance and data management standards and processes for the Enterprise. The team will collaborate with stakeholders in Financing, Advisory, Capital, Marketing, Risk Management, Finance, and IT to ensure that data management policies and standards are comprehensive and add value to existing processes while aligning with our partner standards and regulatory requirements.
The Data Management Specialist will assist with strategy execution of data governance framework consistent with the organization goals and objectives by
  • Contributing to business and data requirements elicitation, creation of project documentation and supporting the project teams (IT and Business teams) to design and develop solutions per the requirements.
  • Interfacing with senior management; contributing towards ongoing data quality improvement initiatives.
  • Liasing with the Data Owners and Stewards, BI, Data Platform, Advanced Analytics and Artificial Intelligence teams to understanding the data impediments and guiding on right solutions.
  • Supporting data quality, data lineage, business definitions, and master data/reference data initiatives
  • Supporting integration of new data sources, reconciliation efforts as well as prescribing requirements of user / business acceptance testing
  • Collaborating with other stakeholders to ensure that the data standards/processes align with enterprise standards.
Responsibilities / Accountabilities
  • Development and Operationalization of the data & analytics operating model, activities include but not limited to:
    • Ensure documentation of relevant supporting capabilities to sustain the unified data platform
    • Responsible for the coordination and alignment of service level agreements, data sharing agreements, data certification processes as well as monitoring of supporting data activities
    • Liaise with the project/product teams to ensure onboarding of information into support activities and update of data lifecycle management
    • Liaise with product owners to ensure value delivery processes are respected
  • Operationalization and management of the Unified Data Platform data lifecycle metadata management, Activities include but not limited to:
    • Ensure governance (e.g. approvals, collection of metadata, definition of golden source/CDE) for new data and purged data
    • Key stakeholder working with Data Mod stakeholders (e.g. govern calculators)
    • Key stakeholder in various data centric projects
    • Contribute to solutioning data issues + prioritization
    • Ensure onboarding to Collibra (e.g. connectors)
    • Oversee annual certification of metadata
    • Lead collection of metadata identification on onboarding into Collibra
    • Contribute to working groups
  • Data lineage / metadata management support
    • Identify and define key business terms, definitions, business rules, quality requirements and critical data elements and work with business stewards to create and maintain business glossary
    • Assist data management lead with metadata management, maintaining business data definitions/ business glossary and data lineage
    • Implement data lineage/metadata management policies, standards and processes
  • Master and Reference data management support
    • Assist data management lead with master/reference data management and maintaining of hierarchies (product, client, account etc.)
    • Gather, analyze, and document master/reference data relationships and hierarchies for master/reference data management tool
    • Work with functional teams to identify, triage and prioritize master/reference data issues and concerns and facilitate issue resolution sessions with IT teams
    • Implement master/reference data management policies, standards, and processes
  • 5+ years of end-to-end data management and governance experience
  • Define the data management workflows for data governance and data quality management
  • Experience in working cross functionally within an environment of multiple data repositories, multi-systems, multi-architectures, multi-vendors and multi-business lines
  • Experience in working with different areas of the organization to ensure implementation of data governance principles, policies, and standards are incorporated for the specific line of business / corporate function and facilitate/assist in remediation initiatives for the LOB
  • Demonstrated experience in building relationships with line of business / corporate function, Information management and IT groups and providing a single point of contact for interactions
  • Demonstrated experience in taking initiative and exhibit creativity and adaptability in problem solving
  • Bilingualism (English and French)
  • Deep knowledge of data governance practices and data management processes
  • Strong understanding of industry recognized DG frameworks, e.g. DAMA, DCAM, TDWI’s DG
  • Strong interpersonal, communication (written/verbal), teamwork, coordination and consensus building skills
  • Knowledge and understanding of Financial Services, Data Management & Governance, Data Security & Privacy and Data Risk management
  • Strong ability to communicate technical concepts to non-technical clients, synthesize complex or diverse information, and use intuition and experience to articulate business needs to Data Governance lead by identifying activities which may be improved through the use of technology
  • Leadership ability to make decisions involving uncertainty using logic, thereby formulating a clear rationale based on available information, exercise sound and accurate judgment, support, and explain reasoning for decisions and recommendations
  • Experience with data governance, quality, cataloguing and data lifecycle management tools (Collibra)
  • Empathy towards the other teams to understand multiple perspectives and find common working ground
  • Bachelor’s degree or higher, preferably in quantitative area, professional financial designation or MBA
  • Experience with data quality tools
  • Experience with Machine Learning Data Catalogs (MLDC)
  • Experience with modern data architectures
  • Experience with agile data governance and agile data management
  • Excellent skills in leadership, program management, design thinking, mentoring and coaching
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