Manager, Analytics – Individual Investor

T. Rowe PriceOwings Mills, MD
Hybrid

About The Position

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident. We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity. Join us for the opportunity to grow and make a difference in ways that matter to you. Role Summary The Manager of Individual Investor (II) Analytics leads a high-performing team of analysts dedicated to delivering impactful solutions that drive the success of T. Rowe Price’s Individual Investors (II) business. II is a rapidly evolving component of the firm’s growth, committed to empowering individual clients through innovative products, digital experiences, and personalized service. As the Manager of II Analytics, you will play a pivotal role in influencing strategy in a visible, high-impact business area, and shape the direction of this business by harnessing data to optimize performance. In this role, you will set direction, prioritize initiatives, and coach your team to translate stakeholder questions into actionable insights. You will partner closely with leaders across II and the broader organization to design and deliver analytical products that directly improve business outcomes and enable stakeholders to make better, faster data-driven decisions.

Requirements

  • Bachelor's degree or the equivalent combination of education and relevant experience AND 5+ years in analytics, data science, or business intelligence, with 1–3+ years leading analysts or mixed analytics teams.
  • Proven track record managing a portfolio of analytical initiatives and recurring deliverables.
  • Demonstrated ability to build, mentor, and retain high‑performing teams.
  • Consultative communicator who can simplify complex topics, tell a clear insight‑driven story, and present options and trade‑offs to senior stakeholders
  • Proficiency across statistical analysis, forecasting/time series, segmentation, experimental design/A‑B testing, optimization, simulation, and foundational machine learning (classification, regression, clustering).
  • Experience working with technology partners to develop requirements and implement solutions.
  • Data transformation and modeling experience; exposure to modern ELT/ETL practices and working with large datasets.
  • Expertise with a leading BI platform (e.g., Tableau, Power BI) including semantic modeling, KPI design, and dashboard UX for executive and self‑service use.
  • Cloud data warehouses/lakes (e.g., Snowflake) and Orchestration (Airflow).
  • Overseeing solutions such as Python‑based pipelines to automate repeatable processes and reduce manual effort.

Nice To Haves

  • Experience in financial services or a similarly regulated industry ; familiarity with distribution, marketing, sales, and digital analytics is a plus.

Responsibilities

  • Lead and develop a high‑performing analytics team: Hire, coach, and mentor analysts; set clear expectations; build a collaborative, inclusive culture. Provide hands‑on guidance on framing problems, selecting methods/tools, and translating findings into clear recommendations.
  • Own analytics portfolio management, prioritization and stakeholder engagement: Manage a balanced portfolio of strategic initiatives and routine deliverables. Partner with business leaders to clarify objectives, surface requirements, define success metrics, and co‑create solutions. Apply analytics across operations, digital, marketing, and sales contexts.
  • Deliver high‑quality analytical products and insights: Oversee development of analyses, models, and research using advanced analytical methods. Ensure insight is translated into tangible advice and action plans that improve outcomes. Monitor routine deliverables and SLAs; proactively identify and resolve data/processing issues.
  • Elevate BI and KPI management: Own a portfolio of dashboards and reporting that track critical KPIs and trends across II. Establish standards for visualization, self‑service usability, and stakeholder adoption.
  • Advance continuous improvement, automation, and efficiency: Identify and implement process improvements, automation opportunities, and re‑usable assets to reduce cycle time and manual effort while improving quality. Leverage GenAI to accelerate analysis, documentation, QA, and solution delivery while maintaining controls and accuracy.
  • Plan and execute change management for new analytics and processes; train users, gather feedback, and iterate to maximize adoption and business value.
  • Champion data quality, documentation, Agile methods and change control; Establish and enforce standards for documentation, peer review, testing, and change management to ensure reliability and reproducibility. Participate in Agile stand-ups, manage backlog, and drive team velocity.

Benefits

  • Competitive compensation
  • Annual bonus eligibility
  • A generous retirement plan
  • Hybrid work schedule
  • Health and wellness benefits, including online therapy
  • Paid time off for vacation, illness, medical appointments, and volunteering days
  • Family care resources, including fertility and adoption benefits
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