Mgr Software Engineering

Talent Octopusventures; Alpharetta (GA); On-site; USD 115,000 - 192,000; Full time

Job summary

LexisNexis Risk Solutions is seeking a Manager – AI Integration & Agentic Analytics Engineering to lead the development of intelligent enterprise data products, AI-powered reporting, and modern integrations across business platforms.

You will head a team connecting enterprise source systems to our cloud data platform, champion AI Agents adoption to automate processes, and drive engineering efficiency with modern AI technologies. Strong leadership + hands-on data engineering is required.

Qualifications

• Bachelor’s degree or higher in Computer Science, Engineering, Information Systems or related field.
• Significant experience leading technical engineering teams on enterprise data platforms.
• Experience delivering cloud-based data engineering solutions and enterprise reporting.

Responsibilities

• Lead analytics and data engineering teams to deliver AI-powered enterprise data products and reporting solutions.
• Oversee integrations across enterprise source systems and data platforms.
• Collaborate with stakeholders across Finance, Operations, Product, and Security.

Skills

Leadership

Stakeholder management

SQL

Python

Data engineering

Enterprise reporting

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Azure Data Factory

Azure Data Lake Storage

Power BI

Azure OpenAI

Python

SQL

Spark

PySpark

REST APIs

Git

Azure DevOps

Terraform

Docker

Kubernetes

Job description

About the Business

LexisNexis 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, https://risk.lexisnexis.com

About the Team

This 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.

About the Team

The Enterprise Data Intelligence (EDI) team delivers enterprise-scale analytics, reporting, AI solutions, and data engineering capabilities supporting Finance, Commercial, Product, Operations, and Technology teams.

We are investing heavily in next-generation AI capabilities including:

• AI Agents
• Agentic software development
• Intelligent reporting
• Autonomous monitoring
• Enterprise integrations
• LLM-powered analytics
• Natural language data experiences
• Data product engineering

This role will help shape how AI transforms both engineering productivity and business decision making.

About the Role

We 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.

This 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.

The 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.

Responsibilities

Leadership

• Lead and develop a high-performing team of analytics engineers, data engineers and AI developers.
• Build a culture focused on innovation, engineering excellence and continuous improvement.
• Coach engineers in modern software engineering, AI-assisted development and best practices.
• Drive technical strategy and delivery across multiple concurrent initiatives.
• Collaborate with Product Managers, Architecture, Security, Finance and Business stakeholders.

AI & Agentic Development

• Champion the adoption of enterprise AI technologies including:
• AI Agents
• Multi-agent workflows
• LLM orchestration
• Retrieval Augmented Generation (RAG)
• MCP (Model Context Protocol)
• Autonomous reporting
• Intelligent workflow automation
• AI-assisted software engineering
• Prompt engineering
• Agent evaluation frameworks
• Human-in-the-loop AI systems

• Identify opportunities where AI can automate manual reporting, business processes and operational decision making.
• Develop reusable AI capabilities that accelerate engineering productivity and improve customer outcomes.

Enterprise Integration

• Lead integrations across enterprise systems including financial, operational and commercial platforms such as:
• ERP systems
• Financial platforms
• CRM platforms
• Contract management systems
• Operational applications
• Internal APIs
• Third-party SaaS platforms
• Event-driven architectures
• Streaming data platforms

• Design reliable and scalable ingestion frameworks supporting both batch and real-time processing.

Data Engineering

• Drive engineering excellence across:

• Modern ETL / ELT
• Data pipelines
• Lakehouse architectures
• Data quality
• Metadata management
• Data governance
• Data observability
• Data lineage
• Performance optimisation
• CI/CD
• Infrastructure as Code
• Champion reusable engineering frameworks and platform standardization.

Financial & Enterprise Reporting

• Lead delivery of enterprise reporting supporting Finance and executive stakeholders.
• Develop scalable semantic models supporting:

• Financial reporting
• Operational reporting
• Executive dashboards
• KPI scorecards
• Regulatory reporting
• Forecasting
• Planning
• Variance analysis

• Ensure reporting is trusted, performant and capable of supporting AI-powered natural language querying.

Data Modelling

• Design enterprise-grade data models including:

• Kimball dimensional modelling
• Star schemas
• Snowflake schemas
• Data Vault concepts
• Semantic modelling
• Slowly Changing Dimensions
• Master Data Management
• Reference data
• Metrics modelling

• Partner with business stakeholders to ensure consistent enterprise definitions.

Platform & Technology

• Drive adoption of modern cloud technologies including:

• Databricks
• Delta Lake
• Unity Catalog
• Azure Data Factory
• Azure Data Lake Storage
• Power BI
• Azure AI
• Azure OpenAI
• Python
• SQL
• Spark
• PySpark
• REST APIs
• Git
• Azure DevOps
• Terraform
• Docker
• Kubernetes

Operational Excellence

• Develop monitoring and AI-powered observability across enterprise data products.
• Improve:
• Platform reliability
• Data quality
• Incident response
• Engineering productivity
• Operational intelligence
• Release automation
• Performance monitoring

• Use AI to proactively detect anomalies before they impact customers.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems or related discipline.
• Significant experience leading technical engineering teams.
• Experience delivering enterprise data platforms.
• Strong experience with cloud data engineering.
• Experience integrating enterprise source systems.
• Strong SQL and Python skills.
• Experience building scalable reporting solutions.
• Experience with dimensional modelling.
• Experience delivering financial reporting solutions.
• Experience working with APIs and enterprise integrations.
• Excellent stakeholder management and communication skills.

Preferred

• Experience with one or more of:

• Databricks
• Azure Data Platform
• Microsoft Fabric
• Azure OpenAI
• Generative AI
• AI Agents
• MCP
• LangGraph
• LangChain
• Semantic Kernel
• Vector databases
• Knowledge Graphs
• RAG architectures
• Financial ERP systems
• SAP
• Oracle Financials
• Workday Financials
• Snowflake
• dbt
• Event Hub
• Kafka

Leadership Competencies

• Strategic thinking
• Technical leadership
• Innovation
• Customer obsession
• Bias for action
• Continuous improvement
• Coaching and mentoring
• Strong business acumen
• Data-driven decision making
• Cross-functional collaboration

What You’ll Deliver

• AI-powered enterprise reporting capabilities.
• Intelligent agentic workflows that automate manual business processes.
• Modern integrations across enterprise source systems.
• Scalable financial and operational data products.
• Trusted semantic models supporting self-service analytics.
• High-quality engineering standards across the analytics platform.
• Increased engineering productivity through AI-assisted software development.
• Enterprise AI capabilities that transform how business users interact with data.

Why Join Us

This 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.

You will work at the intersection of AI, data engineering, cloud platforms, and business transformation, helping shape the next generation of intelligent enterprise systems.

Risk Benefit Statement

Learn more about the LexisNexis Risk team and how we work https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.

This job is eligible for an annual incentive bonus.

We are delighted to offer country specific benefits.

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.

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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.

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