POSITION OVERVIEW

Reporting to the Chief Data & AI Officer, the AVP of Data & AI Governance is a pivotal leader within the Enterprise Data & Analytics Office (EDAO), ensuring the strategic mobilization of the organization in managing data as a critical and shared business asset and ensuring effective oversight of AI risk.

Collaborating closely with teams from HR, Information Security, Compliance, Risk, and IT, the AVP leads the organization in recognizing and maximizing the value of data assets and mitigating data-related risks, ensuring a coordinated approach when engaging with the organization27s business lines and support functions on all matters related to data asset management. In support of this, the role leads initiatives in Data Literacy, Data Stewardship, Data Traceability, Data Knowledge Management, Data Quality Management, Master Data Management, and Metadata Management.

While a foundational understanding or knowledge of technical concepts is important, this role primarily focuses on leadership and business transformation. Success hinges on the ability to articulate the value of data governance and effectively influence senior management and internal stakeholders to fully engage in their fiduciary responsibilities regarding the data they use and produce. This role will govern risks associated to the investments made in recent years in BDC27s centralized data platform to protect our investment as we create business value from our data.

CHALLENGES TO BE MET

Continuously demonstrating value creation through Data & AI Governance capabilities and programs.

Establishing an exciting and engaging Data & AI Governance program culture.

Empowering leaders and enabling business process owners in assuming their accountabilities in relation to their roles.

Facilitating executive alignment on priorities across the Data & AI Governance ecosystem.

Promoting the development of a data-savvy workforce through the delivery of effective data literacy programs in partnership with HR.

KEY RESPONSIBILITIES

Participates in the development and alignment of the organization27s enterprise Data & AI strategy.

Leads a high-performance team of subject matter experts to deliver a coherent and complete Data Governance program.

Provides vision and direction on how to establish and manage enterprise-wide priorities and make decisions with cross-functional impacts in relation to data.

Establishes and operates a multi-level, high-impact data governance committee framework.

Builds effective programs to motivate and mobilize Data Stewards and Data Guardians to fully engage and meet the responsibilities associated with their roles.

Empowers lines of business and support functions to articulate their needs in relation to data management, governance and risks and oversees enterprise-wide Data & AI Governance priorities and remediation initiatives.

Ensures the efficiency and coherence of the corporate policy framework on matters relating to data including data asset management, data risk management, data analytics and AI.

Empowers lines of business and support functions that use and produce data on how to understand and effectively manage the data-related risks related to their activities.

Ensures the performance of standards, processes and tools for effective:

• • Data Stewardship
  • Data Guardianship
  • Data Knowledge Management
  • Data Quality Management
  • Master and Reference Data Management
  • Metadata Management
  • Data Traceability

Reports on the value generated through effective Data & AI Governance

Leads the development and delivery of effective Data Literacy programs.

Prepares and analyzes department/unit plans and reports and manages projects to achieve department/unit goals.

Creates an effective work environment by developing a common vision, setting clear objectives, fostering teamwork, recognizing outstanding performance, and maintaining open communications.

Develops employees through coaching, providing performance feedback, providing effective performance assessments, and establishing objectives & development plans.

WHAT WE ARE LOOKING FOR

Bachelor27s degree or higher in a relevant domain; MBA would be considered an asset.

Excellent interpersonal communication (written/verbal), team building and negotiation and consensus-building skills

10+ years of data governance and data management experience

Proven ability to lead through influence, drive change and build and maintain strong relationships with senior stakeholders and foster alignment and collaboration across diverse business functions.

Experience in leading and managing a data governance team and program

Expertise in defining and implementing data governance policies, standards and processes

Knowledge and experience in data management, security, privacy and risk management

Knowledge and experience with agile data governance and agile data management

Knowledge and experience in the financial services industry are an asset

Bilingualism (written/verbal) English and French.