{"id":920524,"url":"https://alion.io/job/relx-mgr-software-engineering","title":"Mgr Software Engineering","company":{"id":3770,"name":"RELX","domain":"relx.com","url":"https://alion.io/company/relx","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":125,"ghost_share":0,"stale_share":0.568,"repost_share":0.008,"time_to_fill_p50_days":40,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Leadership","role_family":"Leadership","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Alpharetta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115400,"max":192300,"currency":"USD","period":"year","gross":null,"usd_annual":192300},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Oracle ERP","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-27T04:37:11Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"Are you ready to lead analytics engineers in turning AI from experimentation into trusted, production-grade capabilities-without compromising security or governance?\nAbout the Business:\nLexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below,\nhttps://risk.lexisnexis.com\nAbout the Team:\nThis position provides leadership, management, direction, and vision to data engineering and/or employees including offshore contractors/consultants and interns needed to oversee statistical and analytical data analysis. The position works closely with technology peers, product and project leaders/managers, as well as directing the successful completion and delivery of respective data components and any other related deliverables. The position is additionally expected to report progress to senior management. Additional responsibilities may include oversight of the department budget, identifying and supporting talent, and defining resource requirements and allocations.\nAbout the Team\nThe Enterprise Data Intelligence (EDI) team delivers enterprise-scale analytics, reporting, AI solutions, and data engineering capabilities supporting Finance, Commercial, Product, Operations, and Technology teams.\nWe are investing heavily in next-generation AI capabilities including:\nAI Agents\nAgentic software development\nIntelligent reporting\nAutonomous monitoring\nEnterprise integrations\nLLM-powered analytics\nNatural language data experiences\nData product engineering\nThis role will help shape how AI transforms both engineering productivity and business decision making.\nAbout the Role\nWe are seeking an experienced Manager - AI Integration & Agentic Analytics Engineering to lead the development of intelligent enterprise data products, AI-powered reporting solutions, and modern integrations across our business platforms.\nThis individual will lead a team responsible for connecting enterprise source systems into our cloud data platform while championing the adoption of AI Agents to automate business processes, improve engineering efficiency, and deliver next-generation analytical capabilities.\nThe ideal candidate combines strong leadership with hands-on technical expertise across data engineering, financial systems, enterprise integrations, dimensional modelling, reporting architecture, and modern AI technologies.\nResponsibilities\nLeadership\nLead and develop a high-performing team of analytics engineers, data engineers and AI developers.\nBuild a culture focused on innovation, engineering excellence and continuous improvement.\nCoach engineers in modern software engineering, AI-assisted development and best practices.\nDrive technical strategy and delivery across multiple concurrent initiatives.\nCollaborate with Product Managers, Architecture, Security, Finance and Business stakeholders.\nAI & Agentic Development\nChampion the adoption of enterprise AI technologies including:\nAI Agents\nMulti-agent workflows\nLLM orchestration\nRetrieval Augmented Generation (RAG)\nMCP (Model Context Protocol)\nAutonomous reporting\nIntelligent workflow automation\nAI-assisted software engineering\nPrompt engineering\nAgent evaluation frameworks\nHuman-in-the-loop AI systems\nIdentify opportunities where AI can automate manual reporting, business processes and operational decision making.\nDevelop reusable AI capabilities that accelerate engineering productivity and improve customer outcomes.\nEnterprise Integration\nLead integrations across enterprise systems including financial, operational and commercial platforms such as:\nERP systems\nFinancial platforms\nCRM platforms\nContract management systems\nOperational applications\nInternal APIs\nThird-party SaaS platforms\nEvent-driven architectures\nStreaming data platforms\nDesign reliable and scalable ingestion frameworks supporting both batch and real-time processing.\nData Engineering\nDrive engineering excellence across:\nModern ETL / ELT\nData pipelines\nLakehouse architectures\nData quality\nMetadata management\nData governance\nData observability\nData lineage\nPerformance optimisation\nCI/CD\nInfrastructure as Code\nChampion reusable engineering frameworks and platform standardization.\nFinancial & Enterprise Reporting\nLead delivery of enterprise reporting supporting Finance and executive stakeholders.\nDevelop scalable semantic models supporting:\nFinancial reporting\nOperational reporting\nExecutive dashboards\nKPI scorecards\nRegulatory reporting\nForecasting\nPlanning\nVariance analysis\nEnsure reporting is trusted, performant and capable of supporting AI-powered natural language querying.\nData Modelling\nDesign enterprise-grade data models including:\nKimball dimensional modelling\nStar schemas\nSnowflake schemas\nData Vault concepts\nSemantic modelling\nSlowly Changing Dimensions\nMaster Data Management\nReference data\nMetrics modelling\nPartner with business stakeholders to ensure consistent enterprise definitions.\nPlatform & Technology\nDrive adoption of modern cloud technologies including:\nDatabricks\nDelta Lake\nUnity Catalog\nAzure Data Factory\nAzure Data Lake Storage\nPower BI\nAzure AI\nAzure OpenAI\nPython\nSQL\nSpark\nPySpark\nREST APIs\nGit\nAzure DevOps\nTerraform\nDocker\nKubernetes\nOperational Excellence\nDevelop monitoring and AI-powered observability across enterprise data products.\nImprove:\nPlatform reliability\nData quality\nIncident response\nEngineering productivity\nOperational intelligence\nRelease automation\nPerformance monitoring\nUse AI to proactively detect anomalies before they impact customers.\nRequired Qualifications\nBachelor’s degree in Computer Science, Engineering, Information Systems or related discipline.\nSignificant experience leading technical engineering teams.\nExperience delivering enterprise data platforms.\nStrong experience with cloud data engineering.\nExperience integrating enterprise source systems.\nStrong SQL and Python skills.\nExperience building scalable reporting solutions.\nExperience with dimensional modelling.\nExperience delivering financial reporting solutions.\nExperience working with APIs and enterprise integrations.\nExcellent stakeholder management and communication skills.\nPreferred\nExperience with one or more of:\nDatabricks\nAzure Data Platform\nMicrosoft Fabric\nAzure OpenAI\nGenerative AI\nAI Agents\nMCP\nLangGraph\nLangChain\nSemantic Kernel\nVector databases\nKnowledge Graphs\nRAG architectures\nFinancial ERP systems\nSAP\nOracle Financials\nWorkday Financials\nSnowflake\ndbt\nEvent Hub\nKafka\nLeadership Competencies\nSuccessful candidates will demonstrate:\nStrategic thinking\nTechnical leadership\nInnovation\nCustomer obsession\nBias for action\nContinuous improvement\nCoaching and mentoring\nStrong business acumen\nData-driven decision making\nCross-functional collaboration\nWhat You’ll Deliver\nAI-powered enterprise reporting capabilities.\nIntelligent agentic workflows that automate manual business processes.\nModern integrations across enterprise source systems.\nScalable financial and operational data products.\nTrusted semantic models supporting self-service analytics.\nHigh-quality engineering standards across the analytics platform.\nIncreased engineering productivity through AI-assisted software development.\nEnterprise AI capabilities that transform how business users interact with data.\nWhy Join Us\nThis is a unique opportunity to help define the future of enterprise analytics engineering. You will lead the adoption of AI agents, intelligent automation, and modern cloud data platforms that will fundamentally change how enterprise reporting, financial analytics, and software engineering are delivered across the organisation.\nYou will work at the intersection of AI, data engineering, cloud platforms, and business transformation, helping shape the next generation of intelligent enterprise systems.\nRisk Benefit Statement\nLearn more about the LexisNexis Risk team and how we work https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000\n\nU.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.\n\nThis job is eligible for an annual incentive bonus.\n\nWe know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Clickhereto access benefits specific to your location.\nWe 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.\nCriminals 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 scamshere.\nPlease read our Candidate Privacy Policy.\nWe 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.\nUSA Job Seekers:\nEEO Know Your Rights.","description_format":"text","description_chars":9648,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Publishing","Exhibitions","Legal Software","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-15T00:14:59Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 257","filings_12m":257,"filings_prev_12m":227,"green_card_filings_12m":0,"median_offered_wage_usd":127500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":20,"band":"cold","label":"Long shot","p_open":1,"p_active":0.46,"p_room":0.44,"age_days":43,"expected_fill_days":40,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":192300,"is_top_pay":false},"html_url":"https://alion.io/job/relx-mgr-software-engineering","json_url":"https://alion.io/job/relx-mgr-software-engineering.json","meta":{"generated_at":"2026-10-27T05:51:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5767,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3770},"rest":"https://alion.io/mcp/rest/get_company?id=3770"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frelx-mgr-software-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frelx-mgr-software-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frelx-mgr-software-engineering"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/relx-mgr-software-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frelx-mgr-software-engineering"}]}