Do you enjoy collaborating cross-functionally to deliver on common goals? Do you enjoy working towards resolving complex issues ? About our Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. About the Role: The Manager of Data Services is responsible for driving strategic and operational excellence across all data quality initiatives within the InterAction division. This role oversees the Data Quality Services team and ensures the delivery of high-impact, client-focused data quality programs. In addition, the role emphasizes business development, advanced marketing strategies, and the integration of CRM systems—particularly within the legal sector—to drive growth. The ideal candidate will combine technical expertise with strong leadership, fostering a culture of continuous improvement and innovation in data management while leveraging deep industry knowledge. Responsibilities: - Leadership & Strategy: Develop and implement a comprehensive data quality strategy that aligns with business objectives and client needs. - Provide visionary leadership to the Data Quality Services team, setting clear objectives, and promoting cross-functional collaboration that integrates CRM, business development, and marketing perspectives. - Operational Oversight: Manage the day-to-day operations of the InterAction Data Quality Services team to ensure timely and high-quality delivery of data quality programs. - Collaborate with internal teams and external stakeholders, including legal professionals, to optimize resource allocation and deliver exceptional client outcomes. - Data Quality Framework & Best Practices: Develop, implement, and monitor data quality standards, policies, and best practices ensuring data accuracy, consistency, and reliability. - Oversee the effective deployment and use of state-of-the-art data quality tools and technologies, adapting strategies based on performance insights. - Client Engagement & Service Delivery: Serve as the primary point of contact for clients on data quality initiatives, ensuring their requirements are thoroughly understood and met. - Facilitate engaging client workshops, training sessions, and briefings to share progress, insights, and strategic recommendations. - Business Development & Marketing: Leverage in-depth knowledge of the legal sector and legal technology to identify and pursue new business opportunities. - Develop proposals, marketing materials, and presentations that articulate the value of our data quality services, generative AI capabilities, and CRM integration to prospective clients. - Collaborate closely with the marketing team to design campaigns aimed at expanding our footprint within the legal sector and other target markets. - Adoption of Generative AI Tools: Champion the adoption of generative AI tools and technologies within the team to enhance data quality processes and drive innovation. - Evaluate and integrate AI-driven solutions to automate data profiling, cleansing, and validation, ensuring continuous improvement in data management practices. - Process Improvement & Governance: Design and manage robust data quality assurance processes, including data profiling, cleansing, validation, and remediation. - Collaborate with stakeholders to ensure adherence to data governance practices and maintain an elevated standard of data integrity across all projects. - Performance Monitoring & Reporting: Develop comprehensive metrics and dashboards to monitor trends, assess service efficacy, and inform strategic decisions. - Provide regular, actionable reports to senior leadership and clients, outlining key performance indicators and opportunities for enhancement. - Innovation & Continuous Learning: Stay current with industry trends, emerging technologies, and best practices in data management, with an emphasis on legal sector dynamics, CRM integration, and marketing strategies. - Foster an innovation-driven environment by continuously identifying process and technology improvements. Requirements: - Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field. - A minimum of 7 years of experience in data quality management, data governance, or a related field. - Proven experience in leading data quality or data services teams, ideally with exposure to the legal sector, CRM systems, and business development initiatives. - Technical Skills: Proficiency with data quality tools, data integration solutions, and business intelligence (BI) platforms. - Strong command of SQL and familiarity with programming languages (e.g., Python, R) is a plus, particularly in the context of AI and automation. - Experience with CRM systems and their application in business development and marketing is highly desirable. - Analytical & Problem-Solving Skills: Excellent analytical skills with the ability to transform complex data sets into actionable insights. - Demonstrated ability to design and implement scalable process enhancements that improve service delivery. - Business Development, Marketing & Communication: Strong business acumen with experience in identifying and capitalizing on new business opportunities, particularly within the legal sector. - A demonstrated track record in developing and executing integrated marketing strategies. - Exceptional verbal and written communication skills, capable of presenting technical concepts and business proposals to diverse audiences. Work in a way that works for you: We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. About the business: LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. Base Pay Range for CO is $104,900 - $174,700. Base Pay Range for IL is $110,100 - $183,500. Base Pay Range for Chicago, IL is $115,400 - $192,200. Base Pay Range for MD is $110,100 - $183,500. Base Pay Range for NY is $115,400 - $192,200. Base Pay Range for New York City is $125,900 - $209,700. Base Pay Range for Rochester, NY is $104,900 - $174,700. Base Pay Range for OH is $99,700 - $166,000. Base Pay Range for NJ is $118,349- $189,051. This job is eligible for an annual incentive bonus. Application deadline is 04/30/2026. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

• Lead the design and implementation of our modern data platform • Define the architectural roadmap for our cloud data estate • Build scalable pipelines and optimize Spark performance • Migrate legacy workloads into Microsoft Fabric and Azure Synapse • Champion CI/CD for data (DataOps) using Azure DevOps/GitHub

• Design, build, and support reliable ELT/ETL pipelines on Microsoft Azure. • Partner with data architects, BI developers, and business stakeholders to land ERP and operational data into our lake/warehouse. • Monitor jobs, triage incidents, perform root‑cause analysis, and execute break/fix and performance tuning. • Ensure data quality via validation checks, schema enforcement, and automated tests; document lineage and business rules. • Collaborate with BI developers and business partners to translate requirements into optimized data sets for consumption. • Hardening and improving CI/CD (Azure DevOps), environments, and runbooks for compliant delivery. • Contribute to standards (naming, partitioning, coding patterns) and knowledge base articles/playbooks for on-call support.

About Helm Health Helm is a Series A start-up transforming health insurance with "Dynamic Copay" – a new insurance plan that lets members see simple, upfront prices for all medical care before making decisions. Our team is building the infrastructure to power these plans for health insurance payors. With Helm, our clients offer simpler health plans to their members, helping them navigate to higher-value care. Our team has specialized in Dynamic Copay solutions since 2020, and Helm is the only independent platform in the market. We have grown rapidly since our launch, working with clients from local health plans to the nation's largest health insurers. The market is forming around us, making it an exciting time to join! Role Overview We're seeking a Senior Backend Engineer to join our Data team. You'll work alongside our Principal Data Engineer to build and improve the automated systems that power our data infrastructure — pipelines, data quality, integrations, and internal tooling that make the rest of the engineering org more effective. Responsibilies - Design and build automated data pipelines and ETL/ELT processes - Improve data quality, validation, and monitoring across production systems - Build internal tooling that accelerates engineering workflows and reduces manual data operations - Work across PostgreSQL and BigQuery to optimize storage, query performance, and data modeling - Collaborate with engineering teams across the org to understand data needs and build scalable solutions - Participate in code reviews and architecture discussions - Contribute to the on-call rotation for data systems - Support data governance and access control practices to ensure compliance with HIPAA and other regulatory requirements across data systems - Maintain clear documentation for data pipelines, schemas, and system dependencies to support team knowledge sharing and operational continuity - Experience with dbt (data build tool) or similar SQL-based transformation frameworks Requirements - 5+ years in backend or data engineering - Strong Python proficiency - Strong SQL skills, particularly in PostgreSQL and BigQuery - Experience designing and maintaining automated data pipelines - Experience with data quality frameworks, validation, and monitoring - Docker/Kubernetes - Google Cloud Platform Preferred Qualifications - Go proficiency - Experience with additional data stores at scale (CouchDB, CockroachDB, or similar) - Health insurance or claims processing experience - Terraform/Terraform Cloud - Incident management and response experience - Start-up experience Characteristics - Self-directed and comfortable working across systems to find and fix data problems - Mission-driven — motivated by making healthcare simpler and more transparent - Willing to ask questions and admit what you don't know - Systems thinker — you see how data flows through an organization and instinctively look for ways to make it better Internal Tools/Technology - Cursor / Linear / GitHub / Notion / Whimsical - Slack / Google Workspace / Zoom - incident.io / Sentry - Claude, ChatGPT, Gemini — we are an AI-forward engineering team - macOS / Linux Compensation The target base salary range for this position is $150,000 - $225,000 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by several factors, including experience, skills, location, internal pay equity, and other relevant business considerations. Benefits/Offerings - Unlimited PTO (mandatory 12 days) - Computer + home office stipend - 401(k) + matching - Medical, dental, and vision insurance - Autonomy and tons of room for career growth Occasional Travel We meet quarterly as a company. Please note that this is a fully remote opportunity.