Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

Are you ready to help build a trusted vendor data ecosystem? As a Sr. Vendor Data Quality Analyst at Fidelity Investments, you will play a key role in implementing vendor data governance standards and driving data quality improvements across the vendor lifecycle. You will collaborate closely with business and technology partners to develop controls, monitor data health, identify root causes of data issues, and lead remediation initiatives. Your contributions will ensure vendor data is accurate, consistent, and fit for purpose, directly impacting our ability to deliver reliable insights and develop business value!

The Expertise and Skills You Bring

We are looking for a collaborative and outcome-focused data professional. You should have familiarity with data quality, data governance, primary data management, procurement, or vendor management. Ideal candidates will possess:

• Experience in Data Governance, Data Quality, Master Data Management (MDM), Procurement, Vendor Management, Analytics, or related fields.
• Experience implementing data quality programs, scorecards, important measurements, controls, and remediation processes.
• Strong understanding of supplier lifecycle management, vendor onboarding, sourcing, contracting, and third-party risk management.
• Experience working with ERP, procurement, and supplier management platforms such as SAP, Ariba, Oracle, Workday, or similar technologies.
• Advanced SQL skills and experience with analytics and visualization tools such as Power BI or Tableau.
• Strong analytical, problem-solving, and root-cause analysis capabilities.
• Collaborate with Vendor Management, Risk, Finance, Procurement, and Technology partners to resolve data issues and improve upstream processes.
• Familiarity with data governance frameworks, stewardship practices, and data management principles.
• Proven track record communicating analytical findings clearly, concisely, and in an actionable manner, including senior collaborators and cross-functional partners.
• Outstanding attention to detail and dedication to data accuracy, with the ability to prioritize multiple tasks in a fast-paced, dynamic environment.
• A proactive demeanor in delivering results, along with a strong sense of ownership and the capability to lead work independently as well as in collaboration.

The Team

The team delivers insights through advanced analytics, visualization, and data storytelling in support of Vendor Management’s objectives, including cost savings, risk mitigation, process efficiency, and execution of key initiatives. The Sr. Vendor Data Quality Analyst will contribute to the execution of a new data governance program with a focus on improving data quality to strengthen the impact and reliability of insights produced by the team

Fidelity’s Onsite Working Model

Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:

Category:

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.