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Data & AI Function Overview

The Data & AI Function is the cornerstone of iD Mobile's analytical capabilities, providing the organisational structure and expertise needed to transform raw data into actionable business intelligence and AI-powered insights.

Strategic Mission: To establish a world-class data and AI function that enables data-driven decision making, operational efficiency, and competitive advantage through advanced analytics and artificial intelligence.

Core Functions

📊 Data Management

Centralised data governance, quality management, and infrastructure to ensure reliable, accessible, and secure data assets.

🤖 AI & Analytics

Advanced analytics, machine learning, and AI solutions to uncover insights and automate decision-making processes.

📈 Business Intelligence

Interactive dashboards, reporting, and visualisation tools to communicate insights across all business functions.

🔧 Technical Architecture

Scalable, secure, and efficient data infrastructure supporting both current needs and future growth.

Organisational Structure

The Data & AI Function is led by Ben White as Senior BI Manager, with a team structure designed to provide comprehensive coverage across all data and AI disciplines.

Organisational Chart (12)

graph TD; %% Senior BI Manager (Level 1) A[Senior BI Manager
Ben White] --> D[Senior Analytics Engineer
Anil Asher] A --> D2[Senior Analytics Engineer
Vacant] A --> E[Data Scientist
Anastasia Veselova] A --> F[Power BI Lead
Vacant] A --> G[Data Lead
Megha Latha] %% Reports to Senior Analytics Engineer D --> H[Analytics Engineer
James Nagel] %% Reports to Power BI Lead F --> I[Power BI Developer
Ramya Paduchuri] F --> J[Power BI Developer
Sai Teja Gadiyaram] %% Reports to Data Lead G --> K[Data Analyst
Vacant] %% Azure Data Engineers (report to Data Lead) G --> L[Azure Data Engineer
Chaitanya Annavarapu] G --> M[Azure Data Engineer
Pratyush Parashar] %% Custom styling classDef manager fill:#10A45E,stroke:#0E6E40,stroke-width:3px,color:#fff,font-weight:bold classDef fteRole fill:#1ADE82,stroke:#10A45E,stroke-width:2px,color:#232323,font-weight:600 classDef infosysRole fill:#F3F208,stroke:#0E6E40,stroke-width:2px,color:#232323,font-weight:600 classDef vacantRole fill:#FF6B6B,stroke:#CC0000,stroke-width:2px,color:#fff,font-weight:600 %% Apply classes class A manager class D,E,H fteRole class F,G,I,J,K,L,M infosysRole class F,K,D2 vacantRole
Senior BI Manager
FTE Roles
Infosys Roles
Vacant Positions

New Organisational Structure

The updated Data & AI Function structure reflects the new organisational hierarchy with revised role titles and reporting relationships.

New Organisational Chart (15)

graph TD; %% Head of Data and AI (Level 1) A["Head of Data and AI
(iD Mobile)"] --> Q["Tech Product Manager"] A --> D["Senior AI Engineer"] A --> E["Engineering Lead"] A --> G["Data Lead"] %% Reports to Tech Product Manager Q --> R["Data / Dev Ops"] %% Reports to Senior AI Engineer D --> N["AI Engineer"] %% Reports to Engineering Lead E --> H["Analytics Engineer
x2"] E --> DE["Data Engineer
x2"] %% Reports to Data Lead G --> I["Report Developer
x2"] G --> K["Azure Data Engineer
x2"] %% Custom styling classDef manager fill:#10A45E,stroke:#0E6E40,stroke-width:3px,color:#fff,font-weight:bold classDef fteRole fill:#1ADE82,stroke:#10A45E,stroke-width:2px,color:#232323,font-weight:600 classDef infosysRole fill:#F3F208,stroke:#0E6E40,stroke-width:2px,color:#232323,font-weight:600 %% Apply classes class A manager class D,E,H,DE,R,Q,N fteRole class G,I,K infosysRole
Head of Data and AI (G6)
FTE Roles (G4-G5)
Infosys Roles

Role Descriptions & Responsibilities

Each role within the Data & AI Function has been carefully designed to provide comprehensive coverage of our analytical and AI capabilities, ensuring we can deliver on our strategic objectives.

FTE Roles
Head of Data and AI (G6)
Strategic leadership role responsible for the overall direction, performance, and success of the Data & AI Function, reporting directly to senior management.
  • Define and execute the data and AI strategy aligned with business objectives
  • Lead cross-functional initiatives and stakeholder management
  • Oversee team performance, development, and resource allocation
  • Ensure data governance and compliance standards are met
  • Drive innovation in analytics and AI capabilities
  • Manage budget and resource planning for the function
Senior AI Engineer (G5)
Advanced AI and machine learning specialist responsible for developing predictive models, AI solutions, and leading AI initiatives across the organisation.
  • Develop and implement machine learning models for business applications
  • Lead AI solution architecture and implementation
  • Conduct advanced statistical analysis and hypothesis testing
  • Mentor junior AI engineers and data scientists
  • Stay current with AI/ML industry trends and emerging technologies
  • Collaborate with business teams on AI use cases and automation
Engineering Lead (G5)
Technical leadership role focused on leading the analytics engineering team, complex data analysis, statistical modelling, and business insights.
  • Lead and mentor the analytics engineering team
  • Develop advanced analytical models and algorithms
  • Lead complex data analysis projects and initiatives
  • Translate business problems into analytical solutions
  • Ensure analytical methodology best practices and standards
  • Design and implement data processing architectures
Analytics Engineer (G4)
Technical role focused on data transformation, modelling, and preparing data for analysis, supporting the senior analytics team.
  • Transform and clean raw data for analysis
  • Create data models and dimensional tables
  • Implement data quality checks and monitoring
  • Optimise data processing performance
  • Document data lineage and transformations
  • Support data pipeline development and maintenance
Data Engineer (G4)
Technical role responsible for connecting to data sources, ingesting raw data, cleaning and transforming data, and creating silver tables using medallion infrastructure.
  • Connect to various data sources and extract raw data
  • Ingest and store raw data in the data lake
  • Clean and transform data according to business rules
  • Create and maintain silver tables using medallion architecture
  • Implement data quality checks and validation processes
  • Document data sources, transformations, and data lineage
  • Optimise data ingestion and transformation performance
  • Collaborate with analytics engineers on data requirements
AI Engineer (G4)
Technical role focused on implementing AI solutions, maintaining ML models, and supporting the AI infrastructure under senior guidance.
  • Implement and maintain machine learning models in production
  • Develop AI infrastructure and automation solutions
  • Monitor and optimise AI model performance
  • Support data preparation for AI/ML projects
  • Collaborate with data engineers on AI pipeline development
  • Document AI solutions and implementation processes
Tech Product Manager (G5)
Strategic role responsible for managing demand, product roadmap, and sprint planning to ensure the Data & AI Function delivers value-aligned solutions and prioritises work effectively.
  • Manage and prioritise demand from business stakeholders
  • Develop and maintain product roadmap for data and AI initiatives
  • Plan and coordinate sprint planning activities
  • Facilitate communication between business stakeholders and technical teams
  • Define product requirements and user stories
  • Track and report on product delivery progress and metrics
  • Balance competing priorities and resource constraints
  • Ensure alignment between business needs and technical delivery
  • Manage product backlog and prioritisation frameworks
Data / Dev Ops (G4)
Technical role responsible for managing the data platform infrastructure, implementing DevOps practices, and ensuring reliable, scalable, and secure data operations.
  • Manage and maintain the data platform infrastructure and services
  • Implement DevOps practices for data pipelines and infrastructure as code
  • Automate deployment, monitoring, and maintenance of data systems
  • Ensure platform reliability, performance, and scalability
  • Implement security controls and access management for the data platform
  • Monitor platform health, performance metrics, and system alerts
  • Manage CI/CD pipelines for data engineering and analytics workflows
  • Collaborate with data engineers and analytics teams on infrastructure needs
  • Maintain documentation for platform architecture and operational procedures
Infosys Roles
Data Lead
Strategic role responsible for data strategy, governance, and ensuring data quality across all systems and teams.
  • Develop and implement data governance frameworks
  • Establish data quality standards and monitoring processes
  • Lead data architecture and modelling initiatives
  • Ensure compliance with data protection regulations
  • Collaborate with business stakeholders on data requirements
  • Manage data engineering and analytics teams
Report Developer
Technical role focused on building and maintaining certified reports, dashboards, and business intelligence solutions across Power BI and Omni Analytics platforms.
  • Build and maintain certified reports in Power BI and Omni Analytics
  • Create data models and calculations for reporting solutions
  • Implement data refresh and automation processes
  • Ensure report quality, accuracy, and compliance with certification standards
  • Provide user training and support for reporting tools
  • Maintain report documentation, version control, and change management
  • Collaborate with data engineers on data source integration
  • Optimise report performance and user experience
Azure Data Engineer
Technical role responsible for building and maintaining scalable data pipelines and infrastructure on Azure cloud platform.
  • Design and implement ETL/ELT data pipelines
  • Optimise data warehouse performance and storage
  • Implement data security and access controls
  • Monitor and troubleshoot data pipeline issues
  • Collaborate with data scientists on data preparation
  • Maintain Azure data services and infrastructure

Next Steps

With the organisational structure established, the next phase involves: