AVP Data Engineering Chapter Lead

What Is the Opportunity?

BI Tech’s Data and Analytics Value Stream is seeking an Assistant Vice President, Data Engineering to help accelerate our growth and transformation of our Technology Data and Analytics landscape. You will leverage your leadership skills and data engineering experience to strategically plan, influence, and execute design, development and implementation of complex business problems and establish best practices and standards. This role will dual report into the BI Tech Value Stream Technology leader and the BI Technology Engineering Chapter leader.

You will oversee the best practices, standards and reusable components as it relates to ingesting data from multiple sources and relay information and actionable insights to relevant partners to accelerate growth and transformation of our analytics landscape. Leveraging your extensive technical and business expertise, you will be recognized as a thought leader internally and externally. In this role, you will mentor and lead teams designing and building data solutions that capture, explore, transform and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.

• Recommend data strategies to support various consumption patterns, including enterprise architectures, platforms and application infrastructure.
• Oversee the operationalizing and automating of all capabilities to ensure secure, supported and scalable solutions.
• Present recommendations to senior management and executives and influences decisions at the executive level.
• Guide and coach senior team members and managers to accelerate career development.
• Participate in, contribute to and/or lead Engineering Chapter Initiatives, Events and Outcomes.
• Identify, expand and manage Engineering Best Practices and Engineering Skills Development.
• Mentor/Train Engineers within the BI and the Value Stream on EDRs, Engineering Best Practices, Design Standards, Modern Engineering Practices, Cloud-First Approach, Well-Architected Cloud Solutions, Events and APIs as appropriate.
• Be the steward of Engineering Culture within the Value Stream & across BI.
• Co-creates and operationalize the BI Engineering Strategy that ensures continuous improvements in engineering excellence and experience in alignment with the Value Stream Engineering Strategy.
• Identify, expand and manage inner sourced projects and processes in partnership with the Value Streams and SWE Chapter.
• Partner with and influence BI & VS Architecture and Other LOB/Enterprise Partners to drive realization of Target State, design and document solutions and ensure alignment with accepted Architecture Guidelines.
• Lead and Contribute to Major Value Stream Initiatives by working with the circles/teams to build new and modernize applications that reduces technical debt, enables business outcomes, and/or reduce maintenance costs.
• Ensure that Value Stream solutions achieves key NFRs including Reusability;
  Maintainability;
  Securability;
  Testability;
  Readability;
  Scalability;
  Cloud Financial Responsibility;
  Observability/Traceability;
  Accessibility;
  Recoverability.
• Leads the Value Stream Engineering Council and actively participates in the BI Tech Council.
• Foster a psychologically safe team environment.
• May lead a team of Software Engineers; providing technical guidance and mentorship while modeling Travelers’ leadership behaviors to foster a team environment.
• Partner with businesses to establish strategic direction, develop product roadmaps, provide technical oversight for large programs, and implement optimal solutions to meet business needs.
• Build collaborative relationships with key leaders and peers across the organization to ensure the best use of overall resources.
• Provide unique opportunities and challenges to enrich development of team members, assess skill gaps, develop mitigation efforts, and equip individuals with skills, tools, and standard approaches to improve the overall quality of engineering practices and skill sets.
• Apply knowledge of current industry trends and techniques to formulate solutions for data engineering problems.
• Perform other duties as assigned.