Senior Project Manager – Technical
Level: Senior Manager (SM)
Location: Toronto, CANADA
Travel: As Required
Employment Type: Full-Time
About the role:
The Senior Project Manager – Technical is a delivery leadership role. It oversees end-to-end technical delivery for Intact and helps grow Cognizant's business across other insurance engagements in Canada. You will plan, run and govern AI-enabled transformation programs that bring large language models (LLMs), retrieval-augmented generation (RAG), agentic AI and machine learning operations (MLOps) into enterprise platforms on AWS and Azure. You will also use your property and casualty (P&C) insurance knowledge to deliver measurable business results in a hybrid, day-shift role.
Key Responsibilities:
Own end-to-end technical delivery of the Intact engagement, including scope, schedule, budget, quality and release commitments across several concurrent workstreams.
Lead the implementation of AI solutions, including LLM integration, RAG pipelines, agentic AI workflows, document AI and model evaluation, from proof of concept through production rollout and hypercare.
Turn complex insurance business needs into prioritized AI use cases, epics, user stories, acceptance criteria and release plans, working with business, product and engineering stakeholders.
Coordinate AI delivery on Amazon Bedrock, Amazon SageMaker, Azure OpenAI and Azure AI Search, making sure teams account for the trade-offs between model accuracy, latency and cost.
Set up AI delivery governance, including responsible-AI guardrails, data access controls, model monitoring, MLOps lifecycle checkpoints and compliance with regulatory and enterprise security standards.
Build and maintain integrated program schedules, milestones, delivery checkpoints, dependency maps, risk registers, decision logs and executive status reports.
Lead globally distributed teams of engineers, data scientists, architects, quality assurance, operations and vendor partners across multiple time zones.
Run executive steering committees and give clear, objective updates on delivery progress, AI adoption results, risks, dependencies and scope decisions.
Manage cloud and data modernization dependencies, such as cloud migrations and data platform readiness (for example, Snowflake), that support AI workloads in production.
Find technical risks, resource constraints and quality concerns early, assign accountable owners and track mitigation through closure.
Oversee release management, regression testing, integration validation, cutover, rollback planning and post-release stabilization for AI-enabled and core insurance platform releases.
Support Cognizant Canadian insurance engagements by helping with solution shaping, estimates, proposals, client demos and delivery playbooks for AI implementation.
Mentor project managers and delivery leads on Agile delivery, AI program governance and technical delivery practices, and sit on interview panels to build the practice.
Work model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various well-being programs. Based on this role's business requirements, this is an onsite position requiring 3 days a week in a client or Cognizant office in Toronto, Ontario
Required Skills and Qualifications:
At least 12 years of IT delivery experience, including at least 5 years as a senior technical project or program manager on large enterprise application, cloud, data or AI transformation programs.
Proven hands-on AI implementation experience delivering generative AI solutions (LLMs, RAG, multimodal RAG, agentic AI, prompt engineering, fine-tuning, model evaluation and MLOps) into production business workflows.
Working knowledge of AWS AI/ML services (Amazon Bedrock, SageMaker, Textract, Comprehend, Lambda) and Azure AI services (Azure OpenAI, Azure AI Search, Azure ML Studio, AI Foundry), plus frameworks such as LangChain.
Strong P&C insurance domain experience, ideally including Guidewire ClaimCenter and PolicyCenter, and AI use cases for claims, first notice of loss (FNOL), underwriting or policy operations.
Solid background in cloud and data platform modernization, including on-premises-to-cloud migrations, enterprise data platforms (Snowflake, Teradata) and enterprise integrations.
Expert knowledge of Agile, Scrum, SAFe and hybrid delivery methods, using Jira, Confluence, Azure DevOps, MS Project and ServiceNow.
Excellent stakeholder management, executive communication and client-facing skills, with a track record of on-time, on-budget delivery of multi-million-dollar programs.
Certifications good to have:
· PMP certification is required. Certified ScrumMaster (CSM), ITIL and AWS or Azure AI certifications (such as AWS AI Practitioner or Azure AI-900) are preferred.
· Frontier certifications (any)
· Bachelor's degree in engineering, computer science or a related field
Cognizant will only consider applicants for this position who are legally authorized to work in the Canada without requiring company sponsorship now or at any time in the future.
Salary and Other Compensation
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between CAD $150,000 – $170,000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant's discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
While our system allows application in all languages, job required language(s) and proficiency level(s) vary. However, basic English proficiency is required for Company-wide communications purposes
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
Cognizant is a global community with more than 300,000 associates around the world.
We don’t just dream of a better way – we make it happen.
We look after our people, clients, company, communities and climate by doing what’s right.
We cultivate an innovative environment where you can build the career path that’s right for you.
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À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations relatives à la rémunération du poste à pourvoir dépendent de la date de publication de l’offre de poste. Cognizant se réserve le droit de modifier ces informations à tout moment, sous réserve des lois applicables.
Cognizant est un employeur soucieux de l'égalité des chances entre candidats. Votre candidature sera étudiée indépendamment de votre race, couleur, sexe, religion, croyances, orientation sexuelle, identité de genre, origine, handicap, informations génétiques, grossesse, statut d'ancien militaire ou de toute autre critère jugé discriminant par les lois européennes ou françaises.
Vous êtes porteur d'un handicap, vous pouvez-nous contacter par courriel [email protected] si vous souhaitez préciser les aménagements nécessaires pour le poste ou les entretiens à venir.
Les candidats peuvent être invités à participer à des entretiens en face à face ou par vidéoconférence. En outre, les candidats peuvent être amenés à présenter une carte d'identité valide lors de chaque entretien.
