About the role

  • Lead data, analytics, and technology efforts reporting to the Head of Procurement
  • Drive development and execution of analytics strategies supporting business growth, operational efficiency, and innovation
  • Lead a team of data analysts and oversee Vendor Management–wide data initiatives
  • Foster a data-driven culture and ensure delivery of actionable insights through advanced analytics and business intelligence
  • Create strategy to establish an authoritative Vendor Management data solution
  • Provide strategic leadership: develop and execute comprehensive data analytics strategy and collaborate with senior leadership to prioritize analytics opportunities
  • Responsible for data governance and infrastructure; ensure data quality, integrity, and security and partner with IT to maintain scalable data infrastructure
  • Partner across Vendor Management and technology teams; maintain KPIs, dashboards, and management tools
  • Support continuous process improvement initiatives and deliver custom complex analytics and executive materials
  • Develop solutions and tools to proactively identify supply chain opportunities and translate findings into actionable information on spend patterns, purchasing behavior, cost drivers and savings opportunities
  • Participate in internal strategic initiatives, sourcing projects, and other special projects requiring subject matter expertise

Requirements

  • 10+ years of work experience in data, analytics, and reporting or a related field
  • Proven success building and leading a high performing analytics function
  • Strong track record of delivering measurable business impact through data
  • Excellent verbal and written communication, relationship building, and interpersonal skills
  • Strong organizational navigator and teammate who finds common ground and can gain alignment among management, colleagues, and peers
  • Analytical business problem solver who can ask questions, and use analytics to frame problems, opportunities, and solutions
  • Advanced statistical analysis and modeling
  • Proficiency with Machine Learning and AI principles
  • Advanced understanding of data visualization and storytelling concepts including expertise with one or more BI Platforms
  • Experience with Data platforms (MySql, Snowflake, Oracle) and database architecture and design principles
  • Experience and expertise with data mining, movement, integration, ETL and automation tools (SQL, Python, R, Informatica, Alteryx, Blue Prism/RPA)
  • Experience with use of APIs to extract data from cloud services (SAP, AWS, Azure)
  • Certifications: Category: Procurement
  • Note for FINRA-registered internal employees: may impact registrations and should discuss with hiring manager

Benefits

  • Fidelity’s hybrid working model blends onsite and offsite work
  • Most roles listed as Hybrid require associates to work onsite all business days of every other week
  • Reasonable accommodations for applicants with disabilities during application and interview process
  • Diverse and inclusive workplace
  • Equal opportunity employer

Job title

Head of Data Analytics

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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