
Senior Data Platform Manager
T. Rowe Price
full-time
Posted on:
Location Type: Hybrid
Location: Owings Mills • Colorado • Maryland • United States
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Salary
💰 $137,000 - $234,000 per year
Job Level
About the role
- Define and Execute Data Platform Strategy: Lead the vision, roadmap, and delivery of data platforms that support scalable operational and analytical use cases across the organization.
- Enable Scalable Data Access and Integration: Design and implement data products, integration patterns, and a data marketplace that simplify and standardize data access for internal and external users.
- Build and Evolve Analytical Platforms: Develop and maintain modern analytics and reporting capabilities to support insights, measurement, and data-driven decision-making.
- Drive Cross-Functional Collaboration: Partner with senior business and technology leaders to understand data needs, align priorities, and deliver impactful solutions.
- Ensure Data Quality, Governance, and Compliance: Establish and enforce standards, policies, and controls to maintain high levels of data integrity, security, and regulatory compliance.
- Lead and Develop High-Performing Teams: Manage and mentor a team of platform owners and engineers, fostering a culture of accountability, innovation, and continuous improvement.
- Communicate and Influence at All Levels: Translate complex technical concepts into clear insights for non-technical stakeholders and senior leadership.
- Drive Innovation and Emerging Capabilities: Evaluate and integrate new technologies, including AI/ML, to enhance platform capabilities and accelerate business outcomes.
- Own Platform Performance and Outcomes: Ensure platforms meet performance, scalability, and reliability targets while delivering measurable business value.
Requirements
- Bachelor's degree or the equivalent combination of education and relevant experience
- 8+ years of total relevant work experience
- Proven experience leading data platform, data engineering, or analytics teams at scale
- Strong understanding of modern data architectures (data lakes, warehouses, APIs, streaming)
- Experience building data products, data marketplaces, or self-service analytics platforms
- Demonstrated ability to partner with senior stakeholders and influence strategic decisions
- Familiarity with AI/ML integration in data platforms is a plus
- Excellent communication skills with the ability to bridge technical and business audiences
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data platform strategydata integrationdata productsanalyticsdata governancedata qualitydata architecturedata lakesdata warehousesAI/ML integration
Soft Skills
leadershipcollaborationcommunicationinfluencementoringaccountabilityinnovationcontinuous improvementstakeholder engagementdecision-making
Certifications
Bachelor's degree