Manager, Analytics and Artificial Intelligence, Internal Audit

Desjardins · Montral

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In a context where data, advanced analytics and artificial intelligence (AI) are key drivers of internal audit performance and transformation, you will help develop the Desjardins Group Monitoring Office (DGMO) by defining and driving the data, analytics and AI strategy. Reporting to the Director, Analytics, Innovation and Operational Efficiency, you lead a multidisciplinary team of approximately 7 specialists, including data scientists, visualization expert analysts and artificial intelligence experts.

As Manager, Analytics and Artificial Intelligence, Internal Audit, you act as a trusted partner to executives to maximize the business value generated by data, strengthen control effectiveness and speed up the transformation towards insurance that’s more data-driven. You provide cross-sectoral leadership to multiple contributors in the organization. You also directly influence the directions, priorities and investments related to data, advanced analytics and AI, in compliance with the Global Internal Audit Standards (IIA) and regulatory expectations.

More specifically, you will be required to:

• Define and develop the vision, directions and roadmap for data, analytics and artificial intelligence to maximize business value and support audit and insurance priorities
• Speed up the digital transformation of audit by leveraging data, automation, advanced analytics and artificial intelligence
• Strengthen the function’s capacities by developing expertise, tools, and the adoption of data-driven management practices
• Update data, analytics and artificial intelligence capacities to increase the value and impact of the internal audit function
• Prioritize and lead high-impact initiatives, particularly in advanced analytics, continuous auditing, predictive modelling and artificial intelligence
• Ensure the quality, reliability and governance of analytical solutions to support informed and sustainable decision-making
• Advise executives on the opportunities, challenges, risks and impacts associated with the use of data and artificial intelligence
• Mobilize business, financial, technological, compliance and risk management partners to help achieve the function’s objectives
• Manage the data, analytics and AI portfolio of the internal audit function within the framework of directions approved by the director and the function’s governance; recommend priorities and investments, and report on results risk, and arbitration needs
• Position analytics and the use of artificial intelligence as a driver in the strategic partnership of the three lines of defence
• Lead, mobilize and develop a team of professionals who have complementary expertise, including data scientists, visualization expert analysts and artificial intelligence experts. Ensure synergy between these profiles to deliver integrated analytical products
• Manage performance, plan capacity, develop skills and promote employee engagement and retention
• Develop a culture of innovation, collaboration and continuous improvement
• Act as the data steward for the internal audit function, in compliance with sound governance
• Ensure the responsible, ethical and compliant use of data and AI, in line with IIA standards and the expectations of OSFI, the AMF and the FSRA
• Ensure compliance with sound data and AI governance by establishing appropriate controls, roles, reporting mechanisms and best practices for data management, quality and accessibility. 
  

What we offer*

• Competitive salary and annual bonus
• 4 weeks of flexible vacation starting in the first year
• Defined benefit pension plan that provides predictable, stable income throughout retirement
• Group insurance including telemedicine
• Reimbursement of health and wellness expenses and telework equipment

* Benefits apply based on eligibility criteria.

#LI-Hybrid

What you bring to the table

• Bachelor’s degree in data science, statistics, computer science, mathematics, engineering, business administration or a related field
• A minimum of nine years of relevant experience in data, analytics, business intelligence, AI or digital transformation, including 4 years of management experience, ideally in a financial institution or in a highly regulated environment
• Please note that other combinations of qualifications and relevant experience may be considered
• Experience in defining and implementing data strategies that deliver significant business value
• Proven experience in an influential role with experts and executives, combining professional judgment, credibility and the ability to foster critical
• Experience in executive writing and presenting
• Proven experience leading large-scale transformation initiatives that affect practices, processes or operating models
• Knowledge of French is required
• Intermediate advanced proficiency of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
• Proficiency in addressing data governance, quality, security and ethical issues, in accordance with sound governance
• Advanced strategic communication skills and a demonstrated ability to clearly explain complex concepts related to data, analytics and artificial intelligence
• Knowledge of best practices for developing analytics and AI solutions (lifecycle, validation, documentation, quality control and rollout) 

Equity, Diversity, Inclusion and Accessibility

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

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