Job Description Insight Global is seeking a Data Project Consultant to join a high-impact data transformation initiative for a 6-month contract (with possibility of extension) within one of Canada’s top-tier financial institutions. This role is ideal for a seasoned project manager with deep experience in Agile delivery, data strategy, and stakeholder engagement across complex enterprise environments. This role is 1-2x/week onsite in downtown Toronto, ON. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements -4+ years of project management experience, ideally in data-centric environments. -Proven ability to drive delivery in ambiguous, fast-paced settings. -Strong stakeholder management skills—comfortable working with multiple spokes across the organization. -Deep understanding of Agile methodologies -Familiarity with data concepts -Curious, proactive, and highly organized -Excellent written and verbal communication skills -PMP, Scrum Master, Product Owner, Analytics-related certifications -Technical exposure to Power BI, Tableau, SQL, Python, Databricks.