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About the Role

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.

Responsibilities

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.
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.
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.
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.
Identify and mitigate risks, escalate critical issues, manage budgets, forecasts, and resource plans, and ensure delivery meets time, cost, and quality objectives.
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.
Support contract negotiations, ensure compliance with vendor agreements, and oversee delivery activities performed by third-party vendors and managed service providers.

Requirements

Preferred engineering and business background.
PMBoK, Scrum Training, Architecture Overview Training, Lean Six Sigma, or other related training are considered assets.
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), and 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.
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.
Finance & Treasury Domain Knowledge.
Consulting or Transformation Background.
Architecture & Integration Experience.
Vendor & Managed Services Leadership.
Data & AI Program Delivery.

Skills

Data
AI
Technology Transformation
Project Management
Agile
Hybrid Delivery Frameworks
SDLC
Cloud
APIs
Databricks
Snowflake
Analytics
Finance
Treasury
Planview
JIRA
MS Project

Location

Hybrid

Work Type

Hybrid
Contract
Full-time

Experience Level

Senior
12-month contract

Education Level

Preferred engineering and business background.
PMBoK, Scrum Training, Architecture Overview Training, Lean Six Sigma, or other related training are considered assets.

Salary/Compensations

$75-80 per hour
$90-95 per hour (Incorporated Business Rate)

About the Company

Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach.
As part of the screening process, some applications may be reviewed using artificial intelligence tools.
Only candidates who meet the hiring criteria will be contacted.