Senior Project Manager - Data analytics bei NOVIPRO

NOVIPRO, a trusted consulting and recruitment partner specialized in IT and business transformation, is supporting a key player in the financial services sector in the search for a Senior Project Manager – Data Analytics to lead the delivery of strategic initiatives related to contract lifecycle management and advanced data capabilities.

Key Information and Conditions

• Job Title: Senior Project Manager – Data Analytics

• Employment Type: 12-month contract

• Location: Montreal or Toronto

• On-site Requirements: Minimum 2 days per week in either office

• Schedule: 37.5 hours per week

• Language: English fluency required; bilingualism (English/French) preferred for candidates based in Montreal

Responsibilities

• Oversee the end-to-end management of projects focused on contract lifecycle optimization, from initiation through to delivery and post-implementation support

• Ensure complete alignment of contract workflows with evolving market conditions and internal business rules.

• Lead cross-functional teams in a matrix environment, ensuring accountability and timely execution

• Engage in detailed planning and execution phases, including budgeting, scheduling, and risk mitigation

• Actively manage stakeholder expectations through transparent communication, governance reporting, and issue resolution

• Apply a hands-on leadership style, directly contributing to project deliverables where necessary

• Guide the adoption and integration of intelligent automation tools, particularly those tied to AI and analytics platforms

Required Expertise

• Approximately 7 years of experience in project management, ideally within complex enterprise environments

• Demonstrated success in managing large-scale, multi-stakeholder projects delivered on time and within budget

• Practical experience with Contract Lifecycle Management (CLM) platforms, including business process optimization

• Familiarity with Conga AI solutions (formerly Apttus) is a significant asset

• Strong conceptual understanding of data analytics and artificial intelligence frameworks

• Adept at navigating organizational complexity and challenging existing operational norms to drive results

• Proficiency in stakeholder engagement across business and technology functions

• Effective communicator with the ability to distill complex topics into actionable items

• Autonomous and proactive approach, with proven ability to take initiative in ambiguous settings