Job Locations US-TX-Plano | US-OH-Columbus | US-MA-Boston | US-IN-Indianapolis | US-NH-Portsmouth

ID

2026-74852

Position Type

Full-Time

Job Grade

19

Department

0055-13375 USRM Data & Analytics Engineering Tech

Market

Corporate Center

Referral Bonus Amount

3,000.00

Minimum Salary

USD $137,000.00/Yr.

Maximum Salary

USD $257,000.00/Yr.

Recruiter

Julia Stewart

The USRM Data and Analytic Engineering (DAE) organization is seeking a dynamic and forward-thinking Data Engineering People Leader to lead data delivery teams. You will lead Data Engineering efforts that power data insights and decision making across organization. You’ll collaborate with cross-functional squads, tech leads, and architects to deliver scalable solutions that support our DAE and business roadmaps, enabling smarter decisions, faster execution, and seamless customer experiences.

You’ll have the opportunity to attract and hire exceptional talent, strategically allocate resources, and ensure our teams are perfectly aligned with the organization’s most important priorities. As a mentor and coach, you’ll inspire your team to reach new levels of performance and quality, cultivating a culture of growth, innovation, and continuous learning. Bring your technical expertise to guide teams on architecture, security, and scalability, while empowering less experienced engineers to elevate their craft. Drive team effectiveness by managing costs, proactively removing technical debt, and championing Agile practices that keep us moving fast and delivering top-quality solutions. Join us to make a meaningful impact—leading passionate teams that are driving transformation through technology!

Responsibilities:

· Lead Data Engineering Strategy: Partner in the design and lead execution of scalable data solutions, including data curation, integration, and high-value analytics across domains.

· Collaborate Across Domains: Partner with domain leads, product owners, and tech leads to align data engineering efforts with PI planning goals, sprint cadences, and cross-functional dependencies.

· Mentor and Grow Talent: Lead and develop a high-performing data engineering team, fostering a culture of innovation, accountability, and continuous improvement.

· Advance AI-Driven Engineering: Champion the adoption of AI and machine learning within data engineering to enhance automation, analytics, and intelligent data processing. Collaborate with architecture and product teams to identify opportunities where AI can accelerate delivery, improve data quality, and unlock new business insights.

· Be a Change Advocate: Act as a champion for transformation by promoting a culture of agility, innovation, and continuous improvement. Help teams embrace new ways of working, navigate ambiguity, and adopt modern engineering practices aligned with the DAE Capability roadmap and goals. Influence stakeholders across business and technology to drive alignment, engagement, and momentum.

· Foster Collaborative Partnerships: Build strong, trust-based relationships across engineering, Data Office, architecture, and business teams. Act as a connector between squads and Data Office partners, ensuring alignment on priorities, dependencies, and delivery timelines. Facilitate open communication and shared ownership to drive integrated solutions that support USRM and DAE goals.

· Lead Talent Development: Coordinate and deliver performance reviews, drive professional growth, and facilitate mentoring opportunities across the team. Actively engage in recruiting processes, hire top-tier talent, and foster an inclusive, high-performing engineering culture

· Organizational Improvement: Lead efforts across the DAE organization aligning with people, process and technology initiatives.

· Bachelor`s or Master`s Degree in technical or business discipline.

· Minimum of 7+ years of Data delivery experience.

· Minimum 3 years in a leadership role preferred guiding agile squads through complex data delivery cycles in an agile environment.

· Able to manage complex technology development concepts, capabilities and maturity.

· Strong team building and people management skills in a matrixed and geographically dispersed organization. Demonstrated ability to operate collaboratively and build consensus.

· Requires excellent analytical ability, consultative, communication, presentation and management skills, strong judgment, and ability to effectively liaise with cross functional stakeholders and optimize teams.

· Demonstrated ability to operate collaboratively and build consensus.

· A “bar-raiser” mentality and are driven to motivate and lead teams to achieve great things. Continuous improvement focused.

· In-depth knowledge of technology standards and guidelines; knowledge of management concepts, practices and techniques; thorough knowledge of business functions and operations, objectives and strategies.

· Knowledge of agile engineering practices, development methodologies (Scrum, Kanban) and tools (Jira).

· Strong process orientation with effective organizational, communication and presentation skills.

· In-depth knowledge of IT concepts, strategies and methodologies and their application to business opportunities.

Desired skills:

· Experience leading multiple teams in a high paced Agile data delivery environment.

· Demonstrated people leadership skills: coaching, mentoring, culture of feedback.

· Experience leading development teams through modernization efforts.

· Experience leading data efforts for a P&C organization – Small Commercial knowledge a plus.

· Familiarity with AI/ML concepts and their application in data engineering workflows, including data quality automation, intelligent mapping, and synthetic data generation.

· Experience cultivating a culture of continuous improvement, innovation and delivery.

· Strong technical acumen and passion for engineering excellence.

· Experience of cloud platforms (e.g., AWS, Snowflake), data warehousing, ETL/ELT pipelines, and data modeling.

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