Senior manager, gto strategy & transformation

Société Financière Manuvie; Toronto; Hybrid; CAD 129,000 - 179,000; Full time

Benefits offered by this job

Healthcare benefits

Dental benefits

Mental health support

Vision care

Life insurance

Disability insurance

Retirement savings plan

Employee assistance program

Paid time off

Job summary

Société Financière Manuvie seeks a senior analytics leader to drive strategic transformation across Technology and Operations. You will build business cases, track benefits, and coordinate across 14 countries, ensuring timely delivery while guiding AI governance and model risk management.

You will work with risk, legal, and privacy partners to ensure robust governance and compliance, leveraging AI-enabled workflows and modern data platforms. Hybrid work in Toronto is available.

Qualifications

• Experience in enterprise strategy, operating model design, transformation programs, or value realization initiatives.
• Demonstrated experience in operational analytics using enterprise data sources to diagnose performance trends and support senior decision-making.
• Strong communication skills to convey complex analyses to non-specialists.

Responsibilities

• Conduct deep-dive performance analysis across GTO segments and functions to identify root causes and quantify opportunities.
• Develop quantified business cases and track transformation outcomes.
• Support roadmap development, milestone tracking, and executive reporting.

Skills

Enterprise strategy

Transformation programs

Operational analytics

Data platforms (SQL)

Regulatory governance

Stakeholder communication

Cross-country coordination

Education

Relevant degree or professional certification

Tools

Databricks

Excel/Power BI

Job description

In this role, you will support execution of GTO's strategy, transformation, AI enablement, workforce modernization, value realization, and governance agenda. You will conduct deep operational and business analysis, develop business cases, support executive decision-making, and help ensure transformation initiatives produce measurable outcomes across Technology and Operations. You will serve as a key coordination point across 14 countries, maintaining visibility across portfolio priorities and supporting timely execution, while also enabling Tech and Operations teams - who are increasingly building and owning AI models through low-code/no-code and vendor solutions - to understand and fulfill their first-line Model Risk Management obligations. This is an AI-native team - you will use AI tools, agentic workflows, and LLM-connected platforms as your primary way of working, not as an occasional add-on.

Position Responsibilities:

• Operational Analytics & Diagnostics: Conduct deep-dive, multi-year performance analysis across GTO segments and functions to identify root causes of performance shifts and quantify improvement opportunities - spanning operational metrics (e.g., volume, containment, service level, workforce trends), technology delivery metrics, and financial/benefit data, depending on the initiative. Reconcile findings across multiple data sources, flagging discrepancies and data-quality issues rather than presenting unverified figures. Build reusable analytical frameworks (e.g., target-setting waterfalls, seasonality-adjusted projections, business-case models) that leadership can rely on for decision-making across current and future transformation priorities - contact centre performance is one current application of this capability, not its definition.
• Business Case Development & Value Realization: Build quantified business cases, validate assumptions, reconcile benefits, support investment prioritization, and track transformation outcomes. Ensure benefit claims remain defensible against source data as initiatives move from proposal through delivery.
• Transformation Planning & Execution: Support delivery of GTO transformation initiatives through roadmap development, milestone tracking, dependency management, and executive reporting.
• Executive Decision Support & Strategic Communications: Produce competitive benchmarking, landscape analysis, and strategic briefings to support AVP and Director decision-making. Synthesize complex information - regulatory developments, market signals, internal performance data - into clear, executive-ready formats, including anticipated-question briefs ahead of ELT and Board/Technology Committee sessions, Board and investor-facing content, and strategic storyline development. This is one of the highest-leverage and most defining parts of the role - the quality of this synthesis directly shapes senior leadership's understanding of GTO's transformation progress.
• Operating Model & Workforce Analysis: Analyze workforce trends, process changes, productivity opportunities, and future-state operating models to support AI-enabled transformation initiatives.
• Responsible AI Governance: Lead evidence coordination and governance pipeline management for AI initiative reviews. Work credibly and independently with Risk, Legal, Compliance, and Privacy partners - ensuring clearance without stalling delivery. Own the end-to-end governance intake pipeline, flag blockers early, and maintain accurate documentation aligned to enterprise standards including OSFI E-23 and privacy frameworks.
• Model Risk Management Enablement: As Tech and Operations teams increasingly own AI models built through low-code/no-code tools and vendor solutions, provide guidance and subject matter expertise to model owners on their first-line MRM obligations. Support teams in preparing and submitting required documentation - model cards, risk tiering assessments, methodology documentation, and monitoring plans - and assist them in maintaining ongoing obligations including review cycles, change notifications, and performance reporting. Accountability for model risk remains with the designated model owner in Tech or Operations.
• Global Coordination: Maintain the operational rhythm across 14 countries - intake tracking, reporting cadence, escalation management, and cross-country knowledge sharing. Ensure the AVP and Director have timely, accurate visibility across portfolio priorities and emerging issues.
• Regulatory Navigation: Interpret and operationalize regulatory requirements - OSFI E-23, privacy impact assessments, cross-border data residency, model risk guidance - into actionable delivery guidance for AI teams across segments and countries.
• Target & Benefit Tracking: Support target setting and own benefit realization tracking across the portfolio, including operational transformation initiatives. Surface variances early, distinguish transformation-driven improvement from organic trends, coordinate resolution, and maintain accurate progress reporting for senior leadership and ELT.
• Workforce Transformation Execution Support: Monitor AI reskilling and workforce pathway program execution across Tech and Operations segments. Track progress against commitments, identify gaps, and elevate issues to the AVP and Director to support timely resolution.
• Reporting & Communications: Prepare ELT and SteerCo inputs, portfolio dashboards, and initiative status summaries. Maintain documentation standards and traceable evidence trails aligned to enterprise audit and governance requirements.
• AI-Augmented Delivery: Apply AI tools and agentic workflows directly to the team's day-to-day output. Use LLMs connected to enterprise data platforms and AI platforms to reimagine how portfolio reports, operational diagnostics, strategy documents, and executive presentations are built - moving from manual production to intelligent, repeatable workflows, including direct querying and reconciliation of live operational data. Establish and share these patterns across the team, and maintain a living knowledge base of methodology, findings, and reusable analysis patterns to accelerate future work.
• Continuous Improvement: Identify and implement process improvements across governance workflows, MRM documentation processes, analytics methodology, and coordination mechanisms. Improve templates, checklists, and guidance to reduce rework and accelerate cycles without compromising rigor.

Required Qualifications:

• Experience supporting enterprise strategy, operating model design, transformation programs, or value realization initiatives.
• Demonstrated experience in operational/business analytics - working directly with enterprise data (SQL, data platforms such as Databricks, or equivalent) to diagnose performance trends, validate findings across multiple sources, and produce decision-ready analysis for senior stakeholders.
• 6+ years of experience across strategy, transformation, AI governance, model risk management, compliance, operational risk, or technology risk, preferably in a regulated financial services environment.
• Demonstrated experience supporting or coordinating first-line model risk obligations - including model inventory management, risk tiering, documentation requirements, and ongoing monitoring commitments.
• Demonstrated experience in Responsible AI governance, including ownership of governance reviews, working knowledge of OSFI guidelines and privacy frameworks, and the ability to lead evidence coordination independently.
• Practical understanding of AI/ML risks - bias/fairness, explainability, robustness, data privacy - and how governance requirements translate into delivery evidence.
• Ability to communicate complex analysis and MRM obligations clearly and accessibly to non-specialist stakeholders across Tech and Operations teams.
• Strong organizational and coordination skills; comfortable managing multiple concurrent workstreams across global teams.
• Strong analytical and written communication skills; able to synthesize complex information for senior audiences.
• Demonstrated ability to work independently, prioritize competing demands, and drive to resolution without constant direction.
• Hands‑on experience using AI tools for research, synthesis, reporting, and content generation; comfortable experimenting with and adopting agentic workflows and LLM-connected enterprise platforms - including live data-platform querying - to accelerate high‑value work.

Preferred Qualifications

• Experience in management consulting, corporate strategy, transformation offices, operational excellence, or large-scale business transformation programs.
• Experience supporting governance and MRM for GenAI and LLM-enabled solutions, including evaluation approaches and monitoring considerations for large language models.
• Familiarity with low-code/no-code AI tools and vendor model governance - understanding the MRM implications of model ownership shifting to non-specialist teams.
• Experience with enterprise governance tools, model registries, or risk management platforms.
• Experience supporting AI transformation programs across multiple geographies or business units.
• Experience with contact centre operations metrics (IVR containment, FCR/repeat-contact, service level, workforce management) or similar operational KPI analysis in a multi-segment environment.
• Understanding of people strategy, reskilling, or workforce transformation programs in a tech/operations context.
• Relevant certifications in risk, privacy, compliance, or AI ethics are an asset.
• Financial services experience strongly preferred.

When you join our team:

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.

#LI-Hybrid

Le poste annoncé correspond à une vacance existante.

À propos de Manuvie et de John Hancock

La Société Financière Manuvie est un chef de file mondial des services financiers qui aide les gens à prendre leurs décisions plus facilement et à vivre mieux. Pour en apprendre plus à notre sujet, rendez vous à l’adresse www.manuvie.com.

Manuvie est un employeur qui souscrit au principe de l’égalité d’accès à l’emploi

Chez Manulife/John Hancock nous valorisons notre diversité. Nous nous efforçons d’attirer, de perfectionner et de maintenir une main d'oeuvre qui est aussi diversifiée que nos clients, et de favoriser la création d’un milieu de travail inclusif qui met à profit la diversité de nos employés et les compétences de chacun. Nous nous engageons à assurer un recrutement, une fidélisation, une promotion et une rémunération équitables, et nous administrons toutes nos pratiques et tous nos programmes sans discrimination en raison de la race, de l’ascendance, du lieu d’origine, de la couleur, de l’origine ethnique, du genre (y compris grossesse et affection liée à une grossesse), de l’orientation sexuelle, des caractéristiques génétiques, du statut d’ancien combattant, de l’identité de genre, de l’expression de genre, de l’âge, du état matrimonial, de la situation de famille, d’une invalidité ou de tout autre motif protégé par la loi applicable.

Nous nous sommes donné comme priorité d’éliminer les obstacles à l’accès égalitaire à l’emploi. C’est pourquoi un représentant des Ressources humaines collaborera avec les candidats qui demandent accommodement raisonnable pendant le recrutement. Tous les renseignements communiqués pendant le processus de demande d’accommodement seront stockés et utilisés conformément aux lois et aux politiques applicables de Manuvie. Pour demander une mesure d’accommodement raisonnable dans le cadre du recrutement, écrivez à [e-mail].

Région de référence du salaire

Toronto, Ontario

Modalités de travail

Hybride

L’échelle salariale devrait se situer entre

$129,400.00 CAD - $179,400.00 CAD

Les employés ont également la possibilité de participer à des programmes incitatifs et de recevoir une rémunération liée à la performance de l’entreprise et des individus. Le salaire réel variera selon les conditions du marché local, la région géographique et les facteurs propres au poste, tels que les connaissances, les compétences, les qualifications, l’expérience et la formation. Si vous postulez à ce poste en dehors de votre lieu principal, veuillez contacter [e-mail] pour connaître la fourchette salariale applicable à votre région.

Manuvie offre aux employés admissibles une vaste gamme d’avantages sociaux personnalisables, notamment une assurance soins médicaux, soins dentaires, santé mentale, soins de la vue, invalidité de courte et de longue durée, assurance vie et assurance DMA, assurance adoption, de maternité de substitution et de soins médicaux non urgents ainsi que des programmes d’aide aux employés et leur famille. Nous proposons également aux employés admissibles différents régimes d’épargne-retraite (y compris des régimes de rente et un programme international d’actionnariat assortie de cotisations patronales de contrepartie) ainsi que des ressources en matière d’éducation et de conseils financiers. Notre généreux programme de congés rémunérés au Canada comprend les jours fériés, les congés annuels, les congés personnels et les congés de maladie, et nous offrons toute la gamme des congés autorisés prévus par la loi. Si vous posez votre candidature à ce poste aux États-Unis, veuillez écrire à [e-mail] pour obtenir de plus amples renseignements sur les dispositions relatives aux congés rémunérés spécifiques aux États-Unis.

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