Lead AI model development and research within CIBC’s Advanced Analytics and AI team, driving strategic direction across data science, engineering, and product leadership through a rotational program.
Responsibilities
Develop and optimize AI and Generative AI models
Collaborate with cross-functional teams to design AI solutions
Participate in rotations across AI-focused teams
Leverage mentorship to advance professional development
Contribute to TLAP community initiatives
Requirements
Master’s degree in Data Science, Machine Learning, Artificial Intelligence, or related field
Lead the firm’s AI, automation, and digital innovation strategy and enablement across the organization.
Compensation
Compensation: Our best estimate of the salary range for this position is $150,000-$225,000.
Responsibilities
Lead the firm’s AI, automation, and digital innovation strategy in alignment with corporate goals, market opportunities, and operational priorities.
Serve as the firmwide champion and trusted advisor for AI adoption, helping leaders understand where AI can create practical business value.
Partner with executive leadership, practice leaders, and operations teams to identify high-value workflow challenges and prioritize AI-enabled solutions.
Evaluate AI and technology opportunities based on business impact, user adoption, technical feasibility, risk, cost, and return on investment.
Establish governance frameworks, responsible AI standards, and decision-making processes for AI adoption and technology enablement.
Requirements
Bachelor’s degree in information technology, computer science, engineering, GIS, data analytics, business, organizational development, communications, or a related field
Senior Deal Desk Analyst responsible for structuring deals, pricing strategy, and supporting sales regions from the Warsaw Center of Excellence.
Responsibilities
Collaborate with Sales Leadership, Account Teams, and internal stakeholders to structure, review, and optimize customer proposals and commercial outcomes
Lead Deal Desk support for assigned sales regions, ensuring consistent deal governance, pricing guidance, policy compliance, and timely deal execution
Advise on deal structure alternatives, identify and mitigate commercial and contractual risks, and provide recommendations to support approval decisions
Lead pricing discussions and commercial structuring for multi-year customer agreements, evaluating pricing models, annual uplifts, profitability, and long-term revenue optimization
Develop financial models and quantify customer and internal economic benefits associated with the migration from on-premises solutions to SaaS offerings
Requirements
Bachelor’s degree required; Master’s degree or equivalent experience is a strong plus
The role drives horizontal AI operations and enablement across the organizations it supports, helping teams advance AI efforts in alignment with the Chief AI Transformation & Simplification Officer’s strategy.
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location | Pay Range: San Jose, California: ($176,500.00 - $262,350.00 Annually)
Responsibilities
Plan and manage a portfolio of engineering operational programs
Provide technical guidance and support to program teams
Establish and maintain program management processes and standards
Monitor program progress and performance against objectives
Communicate program status and issues to senior leadership
Requirements
Bachelor’s degree in any field or equivalent combination of education and experience
Senior global leader within Corporate IT responsible for enabling the business and delivering measurable value across all corporate functions at Visa.
Compensation
For roles located in the US, the estimated salary range for this position is $235,600.00 to $ 412,300.00 USD per year, which may include potential sales incentive payments (if applicable).
Responsibilities
Enable business outcomes across all corporate functions by ensuring technology, transformation, and change initiatives are executed with clarity, discipline, and measurable impact.
Translate enterprise strategy and investment into delivered outcomes through strong governance, prioritization, and execution rigor.
Serve as a trusted partner to senior business and IT leaders on complex, high‑impact initiatives spanning multiple functions and geographies.
Provide end‑to‑end portfolio and program management leadership for enterprise initiatives across Workplace Technology, Corporate Technology Services, M&A integrations, Global Corporate Real Estate, People, Legal, Finance, Corporate Tools, and Cyber.
Establish and maintain execution standards, governance models, and performance metrics that ensure alignment to strategy, risk mitigation, and predictable delivery.
The Program Manager (AI Adoption Service) is a client-facing delivery lead responsible for translating strategy into execution across AI adoption engagements.
Compensation
ECI also offers a competitive compensation package and the base salary range for this role is $150,000-$160,000 with a 15% target bonus, plus flexible PTO, health benefit eligibility the first of the month, life insurance, pet insurance, 401K and so much more!
Responsibilities
Project planning & controls: Build, maintain, and actively manage the integrated project plan across workstreams, milestones, dependencies, owners, and critical path items; proactively address slippage, sequencing issues, and resource conflicts to keep delivery on track.
Day-to-day project ownership: Act as the de facto project manager for the team by driving weekly priorities, coordinating deliverables, following up on open actions, and ensuring work moves forward between formal status meetings.
Client leadership & facilitation: Serve as the day-to-day client lead for execution; facilitate working sessions, steering meetings, and status reviews; drive alignment across IT, security, compliance, business stakeholders, and executive sponsors.
Cross-functional delivery orchestration: Coordinate delivery across internal SMEs and client resources spanning adoption/change management, technical architecture, security/compliance, data readiness, Copilot Studio/agents, and end-user enablement.
Deliverables management: Own the delivery calendar for workshops, training sessions, communications, assessments, and reporting deliverables; ensure each output has clear ownership, review cycles, due dates, dependencies, and acceptance criteria.
This role focuses on equipping accounting and finance professionals to harness generative AI tools—such as Claude and ChatGPT—to enhance productivity, accuracy, and insight in daily operations.
Compensation
Contract Rate: $90-120 per hour W2
Responsibilities
Develop and deliver targeted training sessions on applying Claude and ChatGPT for accounting and FP&A tasks (e.g., variance analysis, reconciliations, narrative reporting, and forecasting).
Build AI prompt libraries, templates, and governance frameworks aligned to finance controls and data privacy standards.
Evaluate process automation opportunities (closing cycles, management reporting, audit prep) using generative AI.
Coach finance teams on integrating AI into ERP, BI, and Excel-based workflows.
Partner with leadership to plan adoption strategy and define cost-benefit metrics for AI enablement.
Requirements
Nice to have: designing training programs
Nice to have: leading digital adoption initiatives
Lead and coordinate the day‑to‑day operations of enterprise AI services across a global organization, translating AI priorities into structured execution and ensuring secure, efficient, and scalable service delivery.
Locations (2)
Waterloo, Ontario, Canada
Canada
Compensation
The salary range for this position is $100,000–$110,000 CAD.
Responsibilities
Lead, develop, and coordinate a geographically distributed AI Enablement team
Translate AI strategy and governance into clear operational plans
Manage AI intake, prioritization, backlogs, delivery tracking, risks, dependencies, and escalations
Oversee AI service operations, incident and request management, and reliable support coverage
Manage AI licensing, consumption, capacity, budgets, and costs
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