# Manager – AI Integration & Agentic Analytics Engineering

**Company**: LexisNexis Risk Solutions
**Experience**: senior
**Job type**: full-time
**Salary**: $115,400 - $192,300
**Category**: Engineering
**Industry**: Technology

**Apply**: https://relx.wd3.myworkdayjobs.com/en-US/RiskSolutions/job/Alpharetta-GA/Mgr-Software-Engineering_R112031-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a405a657-5f2

## Description

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.

**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.

**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.

## Skills

### Required
- cloud data engineering
- dimensional modelling
- enterprise integrations
- financial reporting
- Python
- SQL
- data governance
- data quality
- metadata management

### Nice to have
- 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

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Source: [Apply at relx.wd3.myworkdayjobs.com](https://relx.wd3.myworkdayjobs.com/en-US/RiskSolutions/job/Alpharetta-GA/Mgr-Software-Engineering_R112031-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)