Job description 

This role reports directly to the Head of Data & Analytics.

The VP, Data & Analytics Architecture & Governance will collaborate with other executives to drive innovation and deliver value through data-driven decision-making.  Our technology drives global markets and helps professionals around the world make better and faster decisions. Whether solving today's challenges or tomorrow's aspirations, you will work with the industry's brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world's leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career. 

About the Role

In this opportunity as VP, Data & Analytics Architecture & Governance, you will:  

Develop and Deliver – In partnership with the VP Data Strategy & Business Operations you will create and evolve an enterprise-wide Data Architecture, including patterns, standards, and guidelines, that enables the future direction of our products, commercial systems, and processes.   

Be a Leader – Build and lead a team of data architects and data & model governance policy designers within the data architecture & governance team to design and building robust, scalable, and efficient and well governed data systems.  Provide thought leadership on data architecture trends and best practices.  Mentor and develop a high-performing team.

Be a Team Player – Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams to ensure completeness and common understanding of the data architecture direction, roadmap, and requirements for the security and compliance of data systems in accordance with industry standards and regulations.

Have an Agile Mindset – With a strong sense of urgency, you will collaborate with IT, engineering, and business stakeholders to integrate data architecture governance into broader tech and business initiatives.  Drive the adoption of new technologies and data management practices that enhance our data capabilities.

Be Innovative - You are empowered to try new approaches and learn new technologies. You will see patterns and relationships in information and events; clarify and simplify complex information; anticipate trends and possibilities that may lead to new business opportunities; consistently think and act “ahead of the curve;” anticipate and effectively respond with urgency.

Be an Effective Communicator - Through active engagement and communication with cross- functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.  This includes communicating the data architecture to all levels of the organization including senior executives, board members, product managers, data engineers and data analysts.

About You

You're a fit for the role of VP Data & Analytics Architecture & Governance if your background includes:

Minimum of a bachelor’s degree in Computer Science, Information Systems, or related field

Minimum of 10 years of experience in data architecture, data engineering, or a related field, with at least 5 years in a leadership role.

Ability to successfully operate across organizational boundaries and to influence and guide. 

Robust analytical skills with the ability to synthesize business requirements with technology capabilities to produce coherent architectures and technical designs. 

Strong written and verbal communication experience including cultural and language awareness. 

Hands-on experience creating and evolving an enterprise data architecture, including transitional and target state architecture deliverables.

Proven track record of designing and implementing large-scale modern cloud-native architectures, data engineering best practices, and modernizing legacy data architectures.

Strong knowledge of cloud database design, data modeling, and data warehousing principles.

Experience with a variety of distributed systems patterns including data caching, federated search, event driven, synchronous and asynchronous processing.

Familiarity with big data technologies, machine learning, and analytics platforms.

Excellent communication and interpersonal skills, with the ability to articulate technical concepts to non-technical stakeholders.

Demonstrated ability to lead and inspire teams in a fast-paced, dynamic environment.

Experience with agile methodologies and a deep understanding of the software development lifecycle.