Purpose of the Position

To enhance our data-driven decision-making by overseeing data management, generating business insights, integrating BI technologies, and effectively managing delivery across project(s). This role will drive strategic growth and operational efficiency through effective data utilization.

Key Result Areas

Good understanding of data analytics, data warehousing, and reporting tools.

Oversee the planning, execution, and delivery of data analytics projects, ensuring alignment with business objectives and deadlines

Develop comprehensive project plans, detailing scope, timelines, resource allocation, and risk management strategies

Monitor project progress, making necessary adjustments to ensure successful completion

Lead a team of Analytics developers and Data engineers, providing guidance, mentorship, and performance evaluations

Identify potential risks and develop mitigation strategies to ensure project success & ensure compliance with data privacy and security regulations

Collaborate with key stakeholders to research and identify areas of interest for the client on technical offerings aligned to their long-term interests

Prepare and present project status reports to stakeholders, highlighting key achievements, risks, and next steps

Allocate resources effectively, manage budgets, and ensure the team has the necessary tools and training.





Identify and address resource constraints or bottlenecks

Work and Technical Experience

Must Haves

Positive understanding of data analytics, data warehousing, and reporting tools.

Intermediate to expert proficiency in either of the BI tools – MSTR, PBI, or Tableau.

Proficiency in either Data engineering or Data science.

Proven track record of delivering successful data analytics projects and involvement in managing end-to-end delivery, which includes managing Finances, Stakeholder management.

Proficiency in project management tools and methodologies (e.g., Agile, Scrum)

Familiarity with cloud platforms and their data services

Good To Have Skill Set:

Advanced degrees or specialized certifications in data analytics or project management are a plus

Ability to convey complex technical concepts clearly and concisely

Ability to prioritize tasks and manage multiple projects simultaneously

Experience in leading cross-functional teams and managing large-scale projects

Exposure to the Retail and CPG domain

Exposure to advanced AI concepts like Gen AI, LLM, Agentic AI

Qualifications

Bachelor’s or master’s degree in computer science, Data Science, Information Technology, or a related field.

11 years of overall experience, with over 8 years in data analytics or related fields and a minimum of 3 years in a managerial role.

📌 Technical Project Manager (Toronto)
🏢 Socket.dev
📍 Toronto