Senior Enterprise Data Modeler​/Information Architect

Position: Senior Enterprise Data Modeler / Information Architect
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.

The Enterprise Data Architecture team is a central organization built to establish enterprise-wide standards and capabilities as scalable solutions to be used across the enterprise.  This team defines and manages enterprise data architectures working with Enterprise Architecture that ensures consistency, scale, controls and compliance to how data is managed.  This organization is also responsible for enterprise information architecture.
** Role Summary
** As an enterprise information architect, you will be accountable and responsible for logical and physical data modeling activities.  This role requires a deep understanding of data modeling practices.  Excellent communication skills to effectively lead and collaborate with various teams and stakeholders is also required.  The governance of our core data model for our data products as an enterprise is critical.  

Seeking energetic and creative person who enjoys designing and implementing capabilities that can scale across the enterprise.  Experience using data modeling tools like Erwin and Hackolade is required.
** Responsibilities
* ** Practicing accountability for self and sometimes others, provides process and standards advice in area of specialization
* Understanding and advocating EA principles and articulating value proposition of architecture to technology partners
* Managing and continuously improving the design and implementation of architecture processes and artifacts
* Ensuring our firm's projects engage architecture early and often on architecturally significant projects
* Reviewing key design decisions with departmental architecture review boards
* Ensuring decisions around architecture are made and deviations from standards are properly identified, addressed, and communicated. Raises issues to the Principal Architects and Senior Managers as necessary
* Participating in and leading reviews of projects that are in flight. Works closely with technical leads of projects contributing solutions to the project’s most challenging problems and able to be hands on as needed
* 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
* Coordinating with other enterprise architects as necessary for solution architecture
* Taking control of complex or vague problems and steps through them in a rational way.
* Balancing tactical vs. strategic trade-offs when making decisions or proposing solutions
* Flexibility in your thinking; you excel at providing solutions when additional information or ideas are presented.
* Mentoring junior members of the team
* Identifying when junior engineers need help and providing support in a positive way that promotes confidence.
* Dedicated to helping team members/makes suggestions to improve practices
* Leading a small team on a specific project or task
** Qualifications
* **
* Required:

*** A BS or MS degree in a technical field (or equivalent education and experience) and 5+ years of experience in data-intensive roles.
* A proven track record defining and sustaining data models for data products (conceptual, logical, physical)
*…