Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Prepare to discuss enterprise AI data architecture in the language of a large investment manager: how data platforms support research, portfolio, or client processes without inventing undocumented internal systems. Know the basics from public company facts—global investment management, Baltimore headquarters, multi-trillion AUM as of 2023, Fortune 1000 placement, and international client footprint (Wikipedia). Be ready to reference recent public themes only as news context: mid-cap fund coverage (Morningstar), Vanguard advisory collaboration (Yahoo Finance), U.S. institutional-business enhancements (PR Newswire), and the firm article on AI in the investment process. Expect on-site Baltimore logistics questions since remote is not indicated. Avoid citing employee review sites; none were provided.
A strong fit is a senior practitioner who has designed enterprise data architectures that enable AI or advanced analytics, and who wants that work inside a Baltimore-based global asset manager rather than a pure software vendor. Comfort with institutional finance context, governance-heavy environments, and non-remote collaboration at T. Rowe Price’s scale matters more than consumer-startup velocity. Interest in how AI intersects investment process design (per the firm’s own public AI article) is a plus. If you need fully remote work, this posting’s remote flag of 0 is a clear mismatch. Thin occupation and salary data mean fit should be validated against the full job description and any recruiter-shared requirements, not against invented benchmarks.
At Troweprice (T. Rowe Price), a typical day as a Sr. Enterprise AI Data Architect would be framed by enterprise-scale data and AI design work inside a global investment manager headquartered in Baltimore, rather than by a generic software-only shop. Without a separate occupation task list in the source data, day-to-day duties cannot be itemized from official task statements; the title itself points to senior architecture for AI-related data platforms and enterprise data patterns. Given firm coverage of “AI in the investment process,” a practical framing for this role is connecting data architecture decisions to how investment workflows might consume models, features, or analytics—always within governance, risk, and scale expectations of a multi-trillion-dollar asset manager. On-site presence in Baltimore implies coordination with local product, data, and business partners at or near the firm’s Pratt Street headquarters area rather than a fully remote pattern.
No certification or training catalog was supplied for this listing, so no named course or credential (or free/paid label) can be recommended from the data. Skill focus implied by the title alone is enterprise data architecture plus AI-system data design—platforms, models-of-data, governance, and integration patterns at scale. Candidates can use the firm’s public “AI in the investment process” piece as a reading cue for domain language, then verify current training costs independently rather than relying on any invented resource list.
Baltimore, MD, with T. Rowe Price headquartered at 100 East Pratt Street in Baltimore; the listing is not marked remote.
It is a U.S. public global investment management firm offering funds, subadvisory services, separate-account management, and retirement plans and services, with more than $1.51 trillion AUM and about $6.48 billion in revenue as of 2023 (Wikipedia).
Yes—among supplied news items is the company article “AI in the investment process” (T. Rowe Price, 25 Apr 2026), which is relevant context for an enterprise AI data architecture conversation.
No salary numbers and no certification list with cost fields were included in the source data, so those details are not stated here and should be confirmed with the employer.
Website: troweprice.com
T. Rowe Price Group, Inc. is an American publicly owned global investment management firm that offers funds, subadvisory services, separate account management, and retirement plans and services for individuals, institutions, and financial intermediaries. The firm has assets under management of more than $1.51 trillion and annual revenues of $6.48 billion as of 2023, placing it 537 on the Fortune 1000 list of the largest U.S. companies. Headquartered at 100 East Pratt Street in Baltimore, Maryland, it has 7,868 employees across 17 international offices with clients in 55 countries.
Public cache only — not an employee review.
Troweprice invites applications for a Sr. Enterprise AI Data Architect based in Baltimore, MD. This full-time position suits professionals ready to shape sophisticated AI-enabled data strategies in a collaborative setting. Role Overview As a Sr. Enterprise AI Data Architect at Troweprice in Baltimore, MD, you will lead the design of scalable data foundations that power advanced analytics and machine learning workloads across the enterprise. You will bridge business goals with technical blueprints, ensuring data platforms support reliable AI initiatives while maintaining governance, security, and performance. Ideal candidates thrive on translating complex requirements into durable architectures that enable teams to innovate with confidence. This full-time opening focuses on high-impact enterprise solutions without remote, hybrid, or work-from-home options. Key Responsibilities Define and maintain enterprise data architecture standards that integrate AI, machine learning pipelines, and large-scale analytics platforms Lead data modeling, ontology design, and metadata management to ensure consistency and reusability across systems Architect cloud-native and hybrid data solutions that support real-time and batch processing for AI use cases Establish data quality, lineage, privacy, and compliance frameworks tailored to regulated AI workflows Partner with engineering, data science, and product stakeholders to align architecture with strategic roadmaps Evaluate emerging tools and patterns for AI data platforms, recommending adoption paths that reduce risk and accelerate delivery Mentor architects and engineers on best practices for enterprise-scale AI data systems Qualifications Proven senior-level experience designing enterprise data architectures that support AI and advanced analytics at scale Deep knowledge of data warehouses, lakehouses, feature stores, and vector or semantic layers common in modern AI stacks Hands-on proficiency with cloud platforms, modern data engineering tools, SQL, and relevant programming languages Strong understanding of data governance, security controls, and regulatory considerations for AI solutions Demonstrated ability to lead cross-functional architecture decisions and communicate technical vision clearly Bachelor’s degree or equivalent experience in computer science, data engineering, information systems, or a related field; advanced credentials a plus Track record of delivering production-ready data platforms for enterprise AI initiatives More About Troweprice Troweprice is hiring for this role and offers a supportive team environment for professionals advancing their careers in Baltimore, MD.…
Generated for personal interview prep · 2026-07-16 UTC · getajob.ai