Tech PM Reference Data

Position: Tech PM with Reference Data
** We are
** 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 14,500+, and has 58 offices in 21 countries within key global markets.
** Our challenge
** 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.

Additional Information 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).
** The Role
**** Responsibilities:
*** 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.
** Requirements:
*** 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 markets products (equities, fixed income, derivatives, forex, etc.).
* Experience with data management tools, ETL processes, and data integration platforms.
* PMP, PMI-ACP, Agile, or other relevant project management certifications preferred.
* Excellent stakeholder management, communication, and leadership skills.
* Ability to work in a fast-paced environment with multiple priorities.
* 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…