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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Strategic Roadmap and Planning: Lead process to develop and maintain comprehensive strategic roadmaps that align with company goals, market trends, and stakeholder priorities. Facilitate cross-functional collaboration to ensure roadmaps are actionable and measurable. Executive Reporting: Insightful Dashboards and Reporting:?Partner with Strategy & Planning Analytics team to prepare executive-level dashboards that provide a comprehensive view of portfolio performance and operational health metrics. Actionable Insights: Analyze data to generate actionable insights and strategic recommendations for stakeholders. Stakeholder Review: Lead consistent and effective communication with stakeholders to support informed strategic discussions and generate data-driven decisions. Team and Workforce Management: Talent Strategy and Development:?Partner with our talent organization to develop and execute on team level and talent management practices inclusive of capacity planning, workforce development, etc. in support of our multi-year business and technology roadmaps. Performance and Vendor Management: Oversee opportunities to optimize relationship with suppliers to ensure an optimal balance in controlling cost, mitigating risks, and ensuring quality delivery. Culture and Engagement:?Lead a team of strategic portfolio managers creating a culture of excellence, collaboration, and continuous improvement within the team. Process Improvement and Collaboration: Continuous Improvement: Continuously refine and lean out portfolio management processes, tools, and methodologies to increase efficiency, transparency, and responsiveness to changing business needs Feedback and Adaptation: Conduct retrospectives to gather feedback and adapt governance processes, ensuring agility and responsiveness. Intake and Triage of Requests to Departments: Efficient Request Management:?Manage the intake and triage of regular and ad-hoc requests to our technology teams engaging with requestors and relevant experts to minimize disruption to our teams while ensuring timely and accurate execution. Streamlined Execution: Develop streamlined processes for handling requests, enhancing organizational efficiency and effectiveness. 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Demonstrated expertise in data-driven analysis and data-informed architectural decision-making. Prior experience using Enterprise Architecture tooling, including Leanix, is a plus. Strong understanding of business operations, global technology trends, and the financial services industry. Proven ability to influence, build consensus, and adapt quickly to change. Excellent communication and collaboration skills across all organizational levels. Experience with agile methodologies and a strong drive to lead change. 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Proficient in software engineering languages, tools, and emerging technologies, with preference for experience across legacy, current, and new technologies. Experience with data migration strategies and a strong understanding of layered solution designs and security concepts. Comprehensive knowledge of technical architecture components and emerging architectural concepts and principles. In-depth understanding of business operations, objectives, global technology trends, and the financial services industry. Strong communication, negotiation, facilitation, and consensus-building skills with the ability to influence stakeholders at all organizational levels. An ability to collaborate effectively across diverse teams and present complex ideas clearly both verbally and in writing. 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Collaborate with diverse teams of data engineers and product partners who believe in continuous learning, respectful collaboration, and inclusive data solutions. Build and optimize scalable, reliable, high-performance automated data pipelines and solutions using Snowflake and AWS. Drive data quality, governance, and observability practices throughout the development lifecycle. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Contribute to a culture of learning by mentoring junior engineers, participating in code reviews, and promoting engineering excellence and best practices. A bachelor's degree in technical or business discipline, or equivalent experience. 5+ years of experience in data engineering, with designing, building, and optimizing scalable data pipelines and architecture. Expert-level proficiency in SQL and a deep understanding of data modeling, data warehousing, and data architecture best practices. Intermediate experience using Python for data transformation, integration, and automation. Hands-on experience with modern public cloud-based data platforms--Snowflake, AWS (e.g., S3, Glue, Lambda). Proficiency with ETL/ELT pipelines and patterns for loading data warehouses and data lakes. Hands-on experience building and deploying CI/CD pipelines (e.g., GitHub Actions, Bamboo, or similar tools). Exposure to the Investments or Finance domain is highly desirable. Familiarity with building and consuming APIs (e.g., REST, API Gateway). 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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. Advanced knowledge of agile development methodologies as typically acquired through a Bachelor`s or Master`s degree in technical or business discipline or equivalent experience At least 10 years of related experience Knowledgeable in software engineering languages and tools; proficient in new and emerging technologies In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles In-depth understanding of layered solutions and designs; in-depth understanding of shared software concepts and product features, as well as security minded Proficient in all product and system components of technical architecture In-depth knowledge of business operations, objectives and strategies; in-depth understanding of global business and technology trends and the financial services industry Strong influencing and consensus building skills, and the adaptability to respond to change quickly Strong communications skills, both written and verbal Ability to effectively collaborate with all levels of the organization with diverse backgrounds Proven experience with agile practices and expectations Highly developed negotiation, consensus building & influencing skills, facilitation and the adaptability to respond to change quickly Highly developed oral and written communication skills; strong presentation skills Ability to effectively collaborate with all levels of the organization", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505375099", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503322305, "name": "Senior Cloud Data Engineer, Investments Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1749497400, "t_create": 1743432660, "ats_job_id": "69494", "display_job_id": "2025-69494", "type": "ATS", "id_locale": "2025-69494-en", "job_description": "Does the thought of building a modern cloud-based data platform from the ground up excite you? If yes, then join us and be part of a team that's forging the path to data-driven success. Note: This role has a hybrid work arrangement in our Boston, MA office (2x/week) We have a large and varied customer base, supported by strategic business units that function as a complete investment firm within our Fortune 100 Company. Our investment professionals are critical to our ability to keep our promises to policyholders, claimants, and their families. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. A bachelor's degree in technical or business discipline, or equivalent experience 5+ years of experience in data engineering, with a proven track record of designing, building, and optimizing scalable data pipelines and architectures Expert-level proficiency in SQL and strong experience with Python for data transformation, automation, and orchestration Deep understanding of data modeling, data warehousing, and data architecture best practices Hands-on Experience with modern public cloud-based data platforms - Snowflake (preferable), AWS, Azure Advanced proficiency in AWS services including (but not limited to): S3, Glue, Lambda, EC2, and Athena Proficient with ETL/ELT data pipelines, patterns for loading Data Warehouses, Lakes Solid experience with DevOps practices and automation frameworks, including CI/CD pipelines, GitHub Actions, Bamboo, and pipeline-as-code principles Skilled in BI/reporting tools (e.g., Power BI, Tableau) Previous experience in Investments / Asset Management, Finance Data modeling, is highly desirable. Familiarity in building and consuming APIs (REST, API Gateway, etc.) Cognizance of security concerns, from access control and authentication to secured processes. Knowledge of containerization and orchestration tools (e.g.: Docker, Kubernetes) A comprehensive understanding of agile environments and the ability to adapt to rapidly changing circumstances. Work in Data and Analytics squad to design, develop, and enhance the data and analytics solutions and pipelines, driving data-driven decision-making processes. Collaborate with scrum masters, product owners, and engineering teams to iteratively create data and analytics solutions that meet both business and technical requirements. Work closely with development team in building Innovative, cloud native solutions using AWS, Snowflake, Python, Rest API etc. Continuously enhance full delivery pipeline through automation, expanded yet increasingly efficient test coverage, ultimately optimizing time-to-market and overall quality Optimize and fine-tune existing data pipelines for performance, scalability, and reliability. Implement data quality checks and monitoring processes to ensure data accuracy and consistency. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Mentor junior engineers in the team; collaborate in technical documentation; participate in code reviews and adhering to engineering excellence/best practices. 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Ensures application or portfolio of platforms are enhanced and maintained to meet business functional needs. In partnership with Product Owner, identifies key performance indicators to measure success of work product. Lead efforts to evaluate, select and implement new technologies Responsible for the end-to-end engineering processes used to deliver applications into production Understands the business domain and product vision; in partnership with other team members (Scrum Master, Architect, Product Owner, etc.) aligns the work of the team toward the shared goals for the product. Initiates and fosters collaborative partnerships with current and potential clients, technology and business managers, vendors and technology executives; develops relationships that support increasing efficiency and effectiveness. Manages the quality of work delivered by team members and deals effectively with performance issues in a timely manner. Coordinates and delivers performance reviews and drives professional development, including rotations and special assignments. Hires talent and facilitates or provides mentoring experiences. Provides relevant technical coaching and support team members. 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Motivated Mentor: You exercise your technical expertise while coaching and collaborating with junior software engineers. Systems-Level Engineer: You work closely with business partners to develop technical requirements and design robust, flexible product and system architectures. Forward Thinker: You lead by example, promoting continuous improvement by finding solutions that increase efficiency, accelerate technology adoption, and enhance profitability. Comprehensive understanding of agile environments. Extensive knowledge of contemporary frameworks and emerging technologies. Strong background in business operations and strategies, including global business knowledge, technology trends, and the financial services industry. Experience developing or architecting cloud-hosted, responsive web and mobile applications using technologies such as React, TypeScript, Kotlin, Swift (iOS), Apollo GraphQL, Nodejs, HTML5, and CSS3. High-level proficiency with client-side JavaScript frameworks, server-side frameworks, and NoSQL databases. Ability to identify patterns and problems across teams and deliver effective solutions. Openness and adaptability to respond to fast-moving circumstances. A design-thinking and test-driven development mindset. Excellent oral and written communication skills and a collaborative team orientation. Strong background in code review. Familiarity with event-based System of Engagement architectures and integration with API-exposing microservices. Functional testing experience, ensuring that applications meet specified requirements and perform as intended. Deep understanding of layered solutions and system designs. 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!important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}