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
Successful candidates will demonstrate
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.
- 

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 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.
