Position Id
MFCJP00007178
Location
Toronto ON
Job Type
Contract Full-Time

Position: Project Manager (Agile Expert - Level 4)

Duration: 3+ months

Location: Remote for now and later Downtown Toronto

Job Description:

Soft Skills:

  • Excellent stakeholder management, communication and presentation skills, team management & effective resource management skills required as the team members will not directly report to the PM or belong to project sponsoring vertical.

Domain Knowledge:

  • At least 5+ yrs. of experience in managing global projects from inception till deployment stage
  • Understanding of how Financial Risk Measures are calculated for adequacy of capital and reported as per regulatory guidelines like RDARR
  • Prior experience of managing Data analytics and/or Visualization projects is preferred
  • Experience of working with geographically dispersed teams
  • Total relevant experience : 10 + Years

Must-have:

  • Prior experience in development of IT solutions which calculated Market Risks (exposure to Insurance industry would be preferred),
  • Ability to manage multiple stakeholders, provide status updates, manage budget and stakeholder communications
  • Proactively identify risks and issues on projects - leading the team to develop risk management and issues management plans
  • Prior experience of working in matrix organizations is required.
  • Knowledge of Agile principles and ability to run Scrum events using Jira and Confluence.
  • Act as an Agile coach in mentoring the squad and guiding product owners on Agile principles.
  • Ability to work with business teams/product owners on backlog prioritization and product vision
  • Monitor and manage project baseline to ensure activities are occurring as planned - scope, budget and schedule – manage variances
  • Identify potential points of contention for missed deliverables; create and implement strategy to mitigate shortfalls in timeline and budget
  • Ability to work independently and handle uncertainty

Nice-to-have:

  • Graduate degree in Computer Science, Engineering or Mathematics
  • Exposure to Data Warehousing projects

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