MANAGER, DATA ENGINEERING - ENTERPRISE CONTACT CENTER (HYBRID)

Company: The Hartford Financial Services Group
Location: Rolling Meadows
Posted on: November 4, 2024

Job Description:

Manager Data Engineering - GE07AEWe're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. - - -The Hartford's Enterprise Contact Center Platforms team is seeking a Manager, Data Engineering. This is a technical position that requires 5+ years of industry experience and a deep understanding of data & software engineering processes and pipelines complimented with non-functional aspects like Performance, Reusability, Scalability, Reliability, and Availability, etc. We are looking for a candidate who is passionate about technology, platform management and can thrive in a fast-paced environment to support the maintenance and enhancement of data infrastructure and practices across cloud-based platforms.Successful candidates will be expected to demonstrate strong leadership skills, excellent partnership with stakeholders and partner teams, solid technical acumen, experience in delivering quality technical solutions as well as setting and executing on a strategic technical vision to ensure data systems are stable, performant, and secure.This role will have a Hybrid work arrangement, with the expectation of working in an office location (Hartford, CT, Columbus, OH, Chicago, IL, and Charlotte, NC) 3 days a week (Tuesday through Thursday).Key Responsibilities include, but not limited to:Act as the Contact Center data lead technical resource and "go-to person" responsible for directing the overall strategic data technical solution roadmap for the portfolio. Accountable for engineering and development of high-quality data solutions aligning to enterprise architectural designs and business needs with a keen eye towards reusability of code assets, consistency in engineering practices and scalability of data pipelines.Act as focal point in designing the "right fit" strategic solution suiting business needs. Collaborate with Business and Analytics leaders as well as the CIO organization to develop a Contact Center Data Strategy and Roadmap, in partnership with EDS and Architects, for evolving from the current-state data ecosystem on-premises to a target-state data ecosystem leveraging cloud-native technologies.Influence cloud automation best practices around cloud cost optimization, charge back models, developer authorization, security controls, and continuous integration / deployment (CI/CD) pipelines for code promotion.Drives code quality, automation, DevSecOps / Data Ops for multiple Contact Center ARTs and contributes towards successful delivery of work. Removes impediments across ARTs for software / data engineers. Partner with Scrum Masters, RTE, leadership to align data engineering staff across ARTs based on demand through a standard engagement and delivery support model.Create and maintain Contact Center data pipeline architecture, data flows and all associated data extraction, staging, and storing jobs. Have oversight and influence of Contact Center platforms book of record data.Support EDS and Operational report and analytics enablement of captured Contact Center platforms real-time and historical data.Deliver/support the assembly of Contact Center data sets that meet functional / non-functional business requirements.Enable the build, integration, and delivery of diverse data across platforms, systems, and applications to support transparency of customer journeys and interactions to provide actionable insights and next best actions for Contact Center staff.Qualifications:Bachelor's or advanced degree5+ years of software development or data engineering experience and best practices in Programming, SDLC practices, Distributed systems, Data warehousing solutions SQL and NoSQL, ETL tools, CICD, Bigdata, Cloud Technologies (AWS/AZURE), Python/Spark, Datamesh and Datalake, Data Fabric3+ years of developing and operating production workloads in cloud infrastructure (AWS, Azure, etc.)Experience with driving and executing cross discipline strategic initiativesExperience with large-scale application and business process cloud re-imagingExposure to AWS cross-account code promotion best practicesKnowledge of core functional components/services of AWS - compute, storage, Edge, Database, Migration and Transfer, Networking, and Governance.Experience with AWS security best practice and posture management - IAM, policies and maintaining regulatory requirements with third-party tools.Certifications/Licenses(as applicable)Cloud certifications preferred.Focus on action, shipping mindset and iterative deployment practices.Proven experience with software development life cycle (SDLC) and knowledge of agile/iterative methodologies and toolsetsStrong written and verbal communication skillsComprehensive understanding of end-to-end Contact Center data, database, and warehousing architectureMust be authorized to work in the U.S. without company sponsorshipCompensationThe listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:$122,880 - $184,320Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeAbout Us -- -Culture & Employee Insights -- -Diversity, Equity and Inclusion -- -BenefitsSummaryLocation: Hartford, CT; Chicago, IL; Columbus, OH; Charlotte, NCType: Full time

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