> Markdown version of [/jobs/ext/1704589-director-of-enterprise-data-engineering](https://www.wearedevelopers.com/jobs/ext/1704589-director-of-enterprise-data-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director of Enterprise Data Engineering - **Company:** T. Rowe Price - **Location:** Owings Mills, MD, United States (Remote available) - **Experience:** Expert - **Salary:** $201,000.0 - $342,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Application Portfolio Management, Data Governance, Data Structures, Data Systems, Interoperability, Logical Data Models, Machine Learning, Scrum Methodology, Unstructured Data, Enterprise Data Management, Information Technology, Data Analytics, Data Lakehouse, Marketplace - **Published:** July 15, 2026 - **Apply:** https://troweprice.wd5.myworkdayjobs.com/TRowePrice/job/Owings-Mills-MD/Director-of-Enterprise-Data-Engineering_82123 ## About the Role The successful candidate must also have strong commercial skills and be knowledgeable about the business environment while demonstrating the ability to translate key business objectives and customer needs into an effective strategy and plans. S/he will have the ability to operate at both a strategic and tactical level while understanding how to effectively delegate as well as roll up her/his sleeves to be hands on when necessary. As well, s/he will have a demonstrated ability to communicate strategic and highly complex technical information to audiences of all levels in a way that establishes credibility, influences, and provides relevant context to inform decision making. Financial services experience is an asset but not essential. Scrum master and/or other certified agile or project delivery capabilities, and certifications and/or a strong working knowledge of established enterprise frameworks are beneficial., * The ability to attract and recruit top talent, motivate the team, delegate effectively, celebrate diversity within the team, and manage performance; widely viewed as a strong developer of others. * The ability to persevere in the face of challenges and exhibit a steadfast resolve and relentless commitment to higher standards, which commands respect from followers. * A leader who is self-reflective and aware of her/his own limitations; leads by example and drives the organization's performance with an attitude of continuous improvement by being open to feedback and self-improvement. Relationships and Influence * Strong executive presence that inspires confidence, artfully articulates vision, builds networks and is politically savvy. * Naturally connects and builds strong relationships with others, demonstrating strong emotional intelligence and an ability to communicate clearly and persuasively. * An ability to inspire trust and followership in others through compelling influence, powerful charisma, passion in her/his beliefs, and active drive. * Encourages others to share the spotlight & visibly celebrates and supports the success of the team. * Creates a sense of purpose/meaning for the team that generates followership beyond her/his own personality and engages others to the greater purpose for the organization., * Bachelor or Masters degree in Computer Science, Engineering, Data Science or a related discipline (or the equivalent combination of education and relevant experience) and 12+ years of progressive professional experience in the areas of Data Governance, Data Science, Engineering and/or Analytics. * 5+ years of progressive people leadership * Experience building and/or supporting AI-enabled applications and data-driven solutions * Is grounded in the taxonomy of what is required to successfully implement an Agile technology program or project * Abreast of many best-of-class technologies * Provides a clear and concise explanation of business strategy, technical concepts, designs, or implementations to a non-technical audience * Identifies impacts across teams and coordinates across senior levels to manage dependencies and potentially opposing priorities * Actively contributes to the application portfolio mind-set: what is out-of-date, build vs. buy, similar capabilities Preferred: * Experience running large-scale multi-discipline efforts across people processes and technology with complex financial services organizations. ## Description The successful candidate will be a visionary and an inspiring technology leader with a proven track record of driving successful technology transformations and facilitating change within a large-scale, complex environment. The successful candidate will have deep data governance & data product experience. S/he will have proven experience transforming a legacy environment into a modern, scalable environment with efficient, interoperable solutions supported by the latest technologies (i.e., AI/ML, Marketplace, Data Lakehouse, etc.). This leader is expected to demonstrate both technical depth and breadth and be well-versed in all key aspects of technology/data in modern digital enterprises., * Lead and transform business-to-business data solutions for T Rowe Price * Collaborate across the organization to identify opportunities related to modern data solutions (data supply chain, intrinsic data governance and data distributions) to formulate blueprints with an execution roadmap. * Proactively own and drive conversations with business and technology partners to understand business processes, derive reference, transactional and analytical data entities of strategic importance to T Rowe Price. * Lead teams of Managers, Engineers, and Analysts to help establish a modern data solutions landscape for B2B and third-party data * Design strategies and programs to analyze and distribute data from internal/external sources through a marketplace. * Apply thought leadership in improving the group function through continuous innovation and MVP executions. * Maintain awareness and understanding of data products/data sets and associated abilities to ingest and integrate. * Drive the development and implementation of data design methods, data structures, and modeling standards. Implement industry standard development policies, procedures, and standards. * Ensure the build out and maintenance of departmental conceptual and logical data models. Conduct data model assessments for strategic data entities and help data owners to address data gaps. * Drive the implementation and adoption of standards in collaboration with CDO organization and industry best practices for Data governance frameworks, Master Management and Data marketplace. * Document decisions that include business needs, point of view, rationale, pros, and cons. * Apply your expertise to help model structured and unstructured data for applications. * Lead efforts to define/refine execution standards for all data concerns, mentor teams on standards and review all designs to ensure that project teams are meeting expectations for quality and conformity. * Regularly interact with leadership on work status, priority setting and resource allocations. * Research new tools with project teams as applicable. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Launching a marketplace on-time: A lesson in taking shortcuts using spreadsheets!](https://www.wearedevelopers.com/videos/477-launching-a-marketplace-on-time-a-lesson-in-taking-shortcuts-using-spreadsheets) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)