We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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"display_job_id": "2025-71789", "type": "ATS", "id_locale": "2025-71789-en", "job_description": "Lead and manage multiple Agile squads of data engineers focused on Sustaining 95 and implementing data governance platforms and best practices. Oversee delivery excellence, capacity planning, and partner/vendor management for staff augmentation and contractor resources. Champion data quality, security, stable system operations, and engineering excellence. Collaborate with product owners and business partners to align backlog and priorities with organizational vision and objectives. Facilitate platform support, incident resolution, and incremental enhancement to maintain operational stability. Enable and consult on Guidewire integration projects, leveraging deep knowledge of GW data models, schema changes, and ingestion frameworks. Partner with data architects, application teams, enterprise integration services, and EDATA (corporate) technology leaders to implement seamless data platform governance and migration to Frontier (Claims Center, Policy Center, Billing Center), providing solutioning expertise aligned with EDATA corporate technology standards and frameworks. Additionally, collaborate with EDATA and business unit stakeholders to manage, monitor, and optimize data platform costs, ensuring cost-effective solutions that support corporate budgeting and financial goals. Evangelize Agile engineering practices, continuous integration/delivery (CI/CD), and HPE software development methodologies and practices. Mentor and coach teams in a geographically distributed environment to foster a high-performance, collaborative culture. Influence technical roadmaps related to data governance, platform modernization, and GW integration strategies. Support change management and stakeholder engagement to enhance the organization's data platform capabilities. Bachelor's or master's degree in a technical or business discipline; master's preferred. 5+ years hands-on experience with data platforms, data warehousing, data lakes, and analytics technologies, including cloud platforms (AWS, Snowflake). 3+ years in a leadership role managing data engineering teams in a matrixed, geographically distributed organization. Proven expertise in sustaining data systems and managing ongoing platform stability. Strong experience with Guidewire data models, integration points, and/or data ingestion and governance approaches, preferably including Data Lake or Lake House architectures. Familiarity with data governance frameworks, data quality, and security best practices. Proven leader in identifying, reducing technical debt, and optimizing total cost of ownership to enhance platform efficiency and sustainability. Deep knowledge of Agile methodologies (Scrum, Kanban) and tools (Jira, Slack, VersionOne). Strong analytical, communication, and stakeholder management skills. Demonstrated ability to lead cross-functional teams through modernization and re-platforming initiatives. Experience with Informatica IDMC or comparable ETL & Governance tools. Understanding of Personal Lines insurance business and data considerations is a strong plus. Prior involvement in Guidewire platform modernization or large-scale data integration projects. Hands-on experience with Data Governance, CI/CD pipelines, and BI or Data Science tools. Ability to act as a servant leader, fostering team empowerment and accountability. A ?bar-raiser? mindset committed to elevating team and individual impact and development. Skilled in negotiating, facilitating consensus, and building trusted partnerships. Knowledge of technology concepts, strategies and methodologies typically acquired through a Bachelor`s or Master`s Degree in technical or business discipline and a minimum of five years' experience in a practice relevant domain including delivering software solutions in an agile environment. 3 years in a leadership role preferred. Able to manage complex technology development concepts, capabilities and maturity. 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. 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Liaise with Compliance, Privacy, and central GenAI teams. Continuously scan the Gen AI landscape: model releases, orchestration frameworks, prompt-engineering trends?and assess fit for our roadmap Establish engineering standards for code quality, observability, cost-efficient LLM usage, and secure development Mentor MLOps engineers and full-stack developers; foster a dynamic, collaborative culture that earns trust across technical and business teams Design of end-to-end solutions as an architect or senior engineer; proven Tech Lead for small, agile teams and the ability to work through others Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style. 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Highly developed interpersonal skills to drive and influence major transformational program outcomes. In-depth knowledge of business operations, objectives and strategies. In-depth knowledge of agile methodology, and ability to mobilize multiple agile delivery teams across multiple domains towards a single mission. Experience with Jira, Confluence, and SPM tools. Knowledge of technology concepts, strategies and methodologies typically acquired through a bachelor's or master's degree in technical or business discipline. More than 10 years' experience in a practice relevant domain including delivering software solutions in an agile environment in the property & casualty insurance industry. In-depth knowledge of IT concepts, strategies and methodologies and their application to business opportunities. 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