T. Rowe Price

Data Engineer

• As a Sr. Enterprise Data Architect, accountable and responsible for coordinating, documenting, communicating and governing on enterprise Data and Data AI architectures.
• Deep understanding of modern cloud data and AI architectures and excellent communication skills to effectively lead and collaborate with various teams and stakeholders.
• Assisting in the documentation of target state architectures, guiding principles and frameworks.
• May also be involved in training engineers across the enterprise.
• Ensuring that all individual solution architecture artifacts and changes are documented as per process standards and stored in T. Rowe Price’s EA Library to facilitate compliance, organization, and access.
• Mentoring junior members of the team.

Senior Enterprise Data Architect

Analyst

• Support legal counsel in the management of the T. Rowe Price and its affiliate’s intellectual property portfolio, including trademarks, copyrights, trade secrets, and patents.
• Participate in branding and product ideation initiatives, including conducting trademark clearance searches and supporting application, prosecution, and maintenance activities.
• Support intellectual property enforcement activities, including investigations, disputes, and coordination with internal and external stakeholders.
• Assist with the negotiation, drafting, review, and lifecycle management of intellectual property licenses and related agreements.
• Support transaction attorneys by reviewing intellectual property provisions in highly complex commercial agreements with suppliers, partners, and clients.
• Coordinate and manage relationships with external counsel, including oversight of deadlines, budgets, and deliverables.
• Support compliance with third-party intellectual property and data usage requirements, including proprietary and market data.
• Contribute to the development and implementation of a comprehensive trade secret strategy, including identification, protection, education, and enforcement.
• Serve as an initial point of contact for intellectual property and proprietary data inquiries from business stakeholders worldwide, operating independently within established frameworks and escalating legal judgment issues to counsel as appropriate.
• Develop, maintain, and enhance job aids, templates, forms, playbooks, and clause libraries to support legal and business stakeholders.
• Design and implement self-service solutions that enable efficient business execution while managing intellectual property risk.
• Support the standardization and scalability of IP-related transactional review processes.
• Design and deliver training programs and innovative educational mechanisms to embed “IP by design” into business activities and transactions.
• Create and publish internal communications, including blog posts, guidance materials, newsletters, and thought-leadership content, to promote intellectual property awareness.
• Help shape and communicate the organization’s intellectual property narrative to encourage strategic use and protection of IP assets.
• Lead and manage the organization’s IP Champions Network, fostering engagement, education, and collaboration across business units.
• Serve as a trusted partner to product, commercial, technology, compliance and legal teams on intellectual property matters.
• Leverage AI and other emerging technologies to automate and streamline intellectual property workflows.
• Identify and implement opportunities to improve IP-related processes, controls, and service delivery models.

Senior Analyst, Intellectual Property

Full-stack Engineer

• Lead the design, development, and deployment of AI systems, providing technical mentorship and oversight to engineering squads.
• Collaborate in cross-functional squads, drive the Build-Operate-Transfer model, and ensure responsible AI solutions are scaled across the enterprise.
• Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights.
• Champion engineering excellence by establishing and enforcing best practices in AI development, continuous integration, and code quality.
• Oversee projects on agent orchestration, prompt engineering, and real-time, data-driven automation.
• Prioritize and manage technical debt, driving ongoing improvements in AI platforms and infrastructure.
• Proactively identify and pursue opportunities to apply AI agents for increased business value and operational efficiency.
• Engage directly with business stakeholders to thoroughly understand organizational needs, strategic priorities, and evolving market demands.

Lead Software Engineer

• Lead the design, development, and deployment of AI systems
• Collaborate in cross-functional squads, drive the Build-Operate-Transfer model
• Partner with business stakeholders to develop agent-driven workflows
• Champion engineering excellence by establishing and enforcing best practices in AI development
• Oversee projects on agent orchestration, prompt engineering, and real-time, data-driven automation
• Proactively identify and pursue opportunities to apply AI agents for increased business value

Learning and Development

• Gather data related to organizational and team effectiveness, provide feedback, and craft strategies and solutions to close gaps from current to desired future state, partnering closely with stakeholders on implementation
• Lead end-to-end organizational design and operating model projects for multiple business units, partnering with HR Business Partners and OD team members to ensure alignment
• Facilitate and advise HR Business Partners and leaders on organizational structure/design, governance, decision rights, and related areas impacting productivity and business outcomes
• Design and facilitate leadership alignment and team effectiveness interventions, including diagnostics, leadership working sessions, and post-change team resets
• Support leaders and teams in translating new structures and strategies into shared norms, behaviors, and operating expectations
• Guide HR Business Partners and leaders in strengthening leadership and team capability following organizational change
• Support business leaders with strategic planning and problem framing; design activities and reinforcement mechanisms to support strategy execution and operating model clarity
• Partner closely with the Transformation Office and program leaders to integrate organizational, leadership, and change considerations into enterprise initiatives
• Build strong, collaborative relationships with HR Business Partners, Talent COEs, and key enterprise stakeholders to ensure aligned, integrated approaches
• Establish, track, and report OD metrics to measure organizational impact based on established goals and timelines
• Participate as an active contributor to work supporting internal business clients and the broader Talent, Enterprise Learning, and HR ecosystem

Senior Organizational Development Consultant

Risk

• Applies knowledge to improve risk management within Advice Solutions.
• Applies understanding of the design and operating effectiveness of internal controls and operating procedures to advise the business line on executing the risk program, responsible product offer scaling, and delivering an outstanding client experience.
• Leveraging comprehensive knowledge of business line, examines existing processes, operational controls, and policies; identifies control gaps; and helps make initial recommendations on potential treatments for any gaps found within a business line.
• Expands knowledge of the Advice Solutions business line; understands standards, guidelines, and regulations the business line is subject to; and helps monitor compliance across the business line.
• Evaluates potential courses of action to address issues identified and recommends solutions.
• May work with internal auditors, researching and providing information when assigned business line is audited and report on identified gaps to senior staff.
• Proactively identifies and addresses potential gaps and issues that may occur within the business line across the spectrum of all Advice Solutions product offers.
• Operate various Advice Solutions controls as delegated to ensure business line continuity, operational efficiency, and risk management.
• Collaborate cross-functionally with internal and external business partners to execute program initiatives, resolve issues, and maintain overall business operations.
• Continues to develop an understanding of organizational risk culture and the application to assigned business line.

Business Line Risk Management Analyst

Manager

• Owns the lifecycle of assigned offers spanning payments, fee administration, and compliance services
• Acts as the accountable offer lead responsible for operational integrity, vendor coordination, regulatory readiness, and internal enablement
• Coordinates across Product, Client Services, Operations, Technology, Compliance, Legal, Marketing, Finance, and external vendors
• Establishes and maintains procedures, controls, and documentation supporting recurring processes and regulatory obligations
• Supports RFP, sales, advisor, and relationship teams with accurate offer positioning and operational guidance

Offer Manager, RPS Product & Platforms

Product Manager

• Owns product area focused on applied AI and automation capabilities embedded across external, client-facing digital platforms for sponsors, advisors, and participants.
• Establishes and maintains a long-term, sequenced product roadmap that delivers near-term client value while expanding intelligence, personalization, and capability over time.
• Leads complex, cross-functional initiatives across B2B and B2C experiences, including AI-powered virtual assistants, conversational analytics, and intelligent reporting.
• Owns outcomes end-to-end, from initial definition and compliant launch through expansion and optimization.
• Operates with clear decision ownership, accountability for results, and disciplined execution.

Senior Product Manager – Applied AI

Attorney

• Participate in evaluations of AI‑related initiatives and use cases submitted to the AI Governance & Enablement Committee through its enterprise AI risk review intake process
• Assist in identifying legal, regulatory, intellectual property, proprietary information, & data protection, and contractual risks associated with proposed use cases
• Support enhanced review activities and lifecycle monitoring programs for complex or high‑impact AI use cases
• Contribute to the development and refinement of the firm’s AI legal risk review program, including research, analysis, and documentation supporting legal assessments
• Support AI vendor onboarding by reviewing AI specific contract provisions and collaborating with Legal, Procurement, and business partners
• Provide timely, well-reasoned guidance to internal stakeholders regarding onboarded AI vendors throughout the lifecycle of the system
• Conduct contractual gap analyses to mitigate risks associated with the evolving AI regulatory landscape
• Support efforts to mature AI risk and control capabilities in alignment with regulatory expectations and T. Rowe Price policies
• Assist in drafting and maintaining policies, procedures, guidelines, and job aids related to responsible and compliant use of AI
• Conduct regulatory horizon scanning and support benchmarking efforts across global jurisdictions
• Collaborate with data, engineering, and governance teams to review data related contracts and develop legally compliant data strategies

Senior Analyst, Legal – Artificial Intelligence

• Support in executing the Individual Investor Brokerage Strategy
• Assess offer competitiveness to meet retail brokerage client needs
• Manage the life cycle for assigned products and value-add offers
• Conduct research and gather information to conduct analyses on assigned offers
• Track data on business generated from offers to calculate revenue and profitability
• Prepare recommendations for growth opportunities, pricing strategies, and competitive positioning
• Create and maintain records of key performance indicators measuring offer effectiveness
• Execute and innovate the process of taking new offers to market

Offer Manager – Retail Brokerage

• Lead the full lifecycle of platform components and services, including design, development, testing, and deployment
• Demonstrate advanced hands-on expertise in technologies such as Java, Spring Boot, REST APIs, and modern frontend frameworks like Vue.js to deliver features into production
• Define and implement comprehensive testing strategies (unit, integration, end-to-end, performance), emphasizing automation and clear quality metrics
• Debug and resolve complex system issues, including codebases you did not author; manage root cause analysis and drive solutions to completion
• Take ownership of the quality, maintainability, security, and total cost of ownership (TCO) for your services and components
• Proactively address technical debt and manage lifecycle considerations
• Establish and promote coding standards, code review processes, and SDLC best practices that can be leveraged across multiple teams and services
• Influence platform and enterprise technical strategy by making pragmatic build-vs-buy and design decisions in alignment with business priorities and risk
• Stay informed about industry trends and emerging technologies, and assess their applicability to drive business value
• Communicate complex technical ideas effectively to non-technical stakeholders and senior leaders, translating business objectives into actionable engineering plans
• Utilize deep domain expertise in areas such as client profiling, goal planning, retirement income planning, cash-flow analysis, tax and investment planning, and integrations with third-party systems to deliver differentiated experiences for clients and advisors

Lead Software Engineer – Wealth Management

Account Manager

• Provides advanced support to clients and processing of client transactions
• Completes advanced analyses and reporting
• Reviews and processes moderately complex transactions; reviews requests for proper documentation and authorization; performs necessary research in account history
• May perform quality checks of transactions processed by other team members
• Identifies and takes action on errors; researches and implements prevention plans to minimize similar errors in the future
• Maintains departmental standards for quality and productivity
• Works with more senior associates on projects designed to improve business processes
• Proactively identifies and recommends areas where improvements to straightforward transaction processing or client support can be improved
• Continues to develop knowledge of clients and client requirements
• Communicates either verbally or in writing with clients

Retail Account Management Associate

• Proactively consults on large, highly complex client relationships and ensures continued client satisfaction and retention and that client needs are met.
• Advises clients on best practices, organizational solutions, and regulatory changes.
• Directly manages highly complex client projects and oversees the successful execution of client initiatives.
• Tracks and reports on client metrics.
• Responsible for the identification, development, and communication of appropriate metrics.
• Develop and execute client service strategy for relationships assigned and ensures successful client relationship performance.
• Serves as an expert on best practices, new regulatory requirements, industry trends, and competitor services/offerings throughout the client service function.
• Contributes to developing recommendations on how to integrate these developments into process or policy changes.
• Has responsibility for executing successful recurring client meetings that include business strategy, marketing, distribution, and investment-oriented topics.
• Serves as the host for the meetings responsible for thoughtful agendas, logistics, and meeting outcomes.
• Collaborates internally with key partners in Investments, Legal and Compliance, Global Product, and Fund Operations on critical deliverables across plans.
• Acts as a strong advocate for the client and as a steward of the business.

Relationship Manager, College Savings Plans

• Independently provide 2LoD oversight of privacy risks arising from first-line business activities and serve as a subject matter resource on privacy risk matters.
• Lead review and challenge of Privacy Impact Assessments (PIAs), Data Protection Impact Assessments (DPIAs), and privacy risk assessments.
• Evaluate the design and operating effectiveness of privacy controls and recommend enhancements aligned with regulatory expectations and risk appetite.
• Independently review privacy incidents, including root cause analyses and remediation plans.
• Provide technical expertise and support the implementation of privacy and data protection processes, controls, and procedures based on enterprise-wide guidance issued by the Global Privacy Office.
• Support the maintenance of the firm’s required privacy compliance documentation (e.g., Records of Processing Activities, Transfer Impact Assessments, procedures, guides, training, Share Point sites).
• Independently develop and deliver executive-level risk reporting, dashboards, and management information.

Senior Risk Analyst, Privacy & Third-Party Risk

Business Analyst

• Build Strategic Relationships with Stakeholders: Develop and maintain strong, consultative relationships with fundamental analysts and portfolio managers (PMs)
• Understand each stakeholder's investment framework, objectives, and decision-making approach
• Architect the Next Generation of Investment Intelligence: Design and deliver agentic architectures that integrate LLMs, quantitative models, enterprise data pipelines, and real-time reasoning systems
• Deploy and drive adoption of agents that understand financial context, retrieve relevant knowledge, and generate research-grade outputs that enhance the work of investors
• Continuously evaluate and integrate emerging frameworks in multi-agent coordination, retrieval-augmented generation (RAG), and prompt design
• Fuse AI and Research: Partner with fundamental and quantitative investors to identify high-value opportunities for AI-enabled automation and augmentation
• Present research and recommendations confidently in meetings and formal presentations to the investment team
• Collaborate, Lead, and Transform: Work across Investment, Data Science, and Technology teams to deliver AI-native capabilities that modernize T. Rowe Price’s investment platform

Senior Enterprise Data Architect

Senior Analyst, Intellectual Property

Lead Software Engineer

Lead Software Engineer

Senior Organizational Development Consultant

Business Line Risk Management Analyst

Offer Manager, RPS Product & Platforms

Senior Product Manager – Applied AI

Senior Analyst, Legal – Artificial Intelligence

Offer Manager – Retail Brokerage

Lead Software Engineer – Wealth Management

Retail Account Management Associate

Relationship Manager, College Savings Plans

Senior Risk Analyst, Privacy & Third-Party Risk

Investments AI Solutions Analyst