Senior Project Manager – Data, AI & Technology Transformation

Data, AI & Technology Transformation Join a large-scale technology and transformation environment where data, AI, and digital initiatives drive business outcomes. This opportunity offers the chance to lead complex programs, collaborate with diverse stakeholders, and deliver impactful solutions within a dynamic and fast-paced organization.

Senior Project Manager Data, AI & Technology Transformation Join a large-scale technology and transformation environment where data, AI, and digital initiatives drive business outcomes. This opportunity offers the chance to lead complex programs, collaborate with diverse stakeholders, and deliver impactful solutions within a dynamic and fast-paced organization.

What Is In It For You

Salaried: $75-80 per hour.

Incorporated Business Rate: $90-95 per hour.

12-month contract.

Hybrid schedule, 37.5 hours per week.

Responsibilities

Program & Delivery Leadership: Lead the end-to-end delivery of data, AI, and technology initiatives by defining scope, roadmaps, milestones, and measurable outcomes while managing multiple concurrent projects with varying complexity and dependencies.

Technology & Architecture Alignment: Partner with architecture, engineering, and data teams to deliver scalable and secure solutions, translate business needs into technical requirements, align dependencies across platforms and systems, and provide informed guidance on solution design and delivery approaches.

Stakeholder Management: Act as the primary liaison between business, technology, and leadership stakeholders by providing clear project updates, communicating risks and decisions, and fostering alignment across diverse groups.

Planning, Governance & Execution: Develop and manage project plans, timelines, and deliverables while ensuring adherence to SDLC, governance, and Agile or Hybrid delivery frameworks and proactively adjusting plans to address changing priorities and risks.

Risk, Financial & Resource Management: Identify and mitigate risks, elevate critical issues, manage budgets, forecasts, and resource plans, and ensure delivery meets time, cost, and quality objectives.

Team Leadership: Build and lead high-performing cross-functional teams by establishing roles, expectations, and success metrics while coaching and mentoring team members to support accountability and performance.

Vendor & Partner Management: Support contract negotiations, ensure compliance with vendor agreements, and oversee delivery activities performed by third-party vendors and managed service providers.

What You Will Need To Succeed Education

Preferred engineering and business background.

PMBoK, Scrum Training, Architecture Overview Training, Lean Six Sigma, or other related training are considered assets.

Degrees/Certifications Required: Irrelevant (dependent on candidate proficiency and capabilities).

Experience

Proven experience delivering data, AI, or technology transformation programs.

Solid experience across Finance and Treasury domains, including:

Financial data platforms (GL, sub-ledgers, reporting, reconciliations).

Treasury operations (liquidity, cash management, payments, FX, banking integrations).

Regulatory, compliance, and financial reporting processes.

Experience working with finance transformation initiatives (e.g., FP&A, ERP, data modernization).

Experience with project tools (e.g., Planview, JIRA, MS Project).

Familiarity with managed services, ticketing, and monitoring systems.

Competencies

Strong understanding of modern technology stacks (cloud, APIs, data platforms such as Databricks/Snowflake, analytics/AI solutions).

Demonstrated ability to bridge business and technology, translating complex technical concepts into business outcomes.

Strong knowledge of SDLC delivery methodologies (Agile, Waterfall, Hybrid).

End-to-End Analysis & Systems Thinking with strong breadth of technology knowledge (Data, AI, Platform, Transformation Delivery).

Techno-Functional Leadership.

Hands-On Delivery Management.

SDLC, Planning & Execution Excellence.

Stakeholder & Cross-Functional Management.

Preferred Qualifications

Finance & Treasury Domain Knowledge.

Consulting or Transformation Background.

Architecture & Integration Experience.

Vendor & Managed Services Leadership.

Data & AI Program Delivery.

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