Tech PM - Reference Data

This range is provided by Synechron. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

CA$/yr - CA$/yr

Direct message the job poster from Synechron

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets.

We are seeking an experienced Technical Project Manager to oversee and coordinate our Reference Data initiatives, with a strong focus on Golden Source systems. The ideal candidate will possess deep technical expertise in reference data management, data governance, and integration of Golden Source platforms, ensuring timely delivery of complex projects aligned with business objectives.

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Toronto, ON is CAD $120k – CAD $130k/year & benefits (see below).

• Lead end-to-end project management for Reference Data and Golden Source initiatives, including planning, execution, and delivery.
• Collaborate with stakeholders across data governance, IT, operations, and business teams to gather requirements and define project scope.
• Coordinate technical activities related to data modeling, data quality, data lineage, and master data management.
• Oversee the migration, integration, and enhancements of Golden Source systems, ensuring data accuracy, consistency, and compliance.
• Manage project timelines, budgets, and resources effectively, providing regular status updates to senior management.
• Identify and mitigate project risks, issues, and dependencies proactively.
• Ensure adherence to data governance standards and best practices within project deliverables.
• Facilitate communication between technical teams (developers, data stewards) and non-technical stakeholders.
• Drive continuous improvement in project delivery processes and technical solutions related to reference data.
• Support audit and regulatory requirements concerning master data.

Technical

Qualifications:

• Capital Markets Domain Expertise:
• 3+ years working with reference‑data domains in trading, risk or back‑office functions.
• Strong understanding of Securities data feed from Bloomberg, LSEG (Reuters).
• Strong understanding of various Asset classes and important attributes associated with each asset classes.
• Good understanding of instrument identifiers (ISIN, CUSIP, FIGI, RIC), entity identifiers (LEI) and product taxonomy.
• Technical
  
  Skills:
  
  
• Proficient in SQL and relational data‑modeling concepts.
• Familiarity with using APIs and JSON, XML structures.
• Familiarity with MDM and data‑governance platforms (e.g. Collibra, Data Hub) and metadata‑management best practices.
• Excellent Excel skills to perform various data analysis, triage recons and build summaries.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, Finance, or related field.
• Minimum of 10 years of project management experience, ideally within capital markets or financial institutions.
• Strong understanding of Reference Data concepts, data governance, and data quality frameworks.
• Proven experience in managing technology projects related to trading platforms, risk systems, or data warehouses.
• Familiarity with capital…