We are seeking a highly experienced and technically strong leader to head our
Data & AI Engineering function
. This role will be responsible for driving the
technical vision, delivery excellence, and AI-first transformation
across our data engineering and analytics teams.

The ideal candidate will bring a
hands-on leadership approach
, combining deep expertise in data platforms and applied AI with the ability to guide teams, architect scalable solutions, and deliver measurable business outcomes.

Role Summary:

This position requires a
strategic yet hands-on leader
who can operate across
data engineering, analytics, and AI
, and drive the organization toward becoming a truly
AI-native delivery function
. The role demands a balance of
technical depth, leadership capability, and business acumen
to deliver impactful, scalable, and future-ready solutions.

Key Responsibilities:

• 
  Define and implement the
  AI-first engineering strategy
  , including standards, frameworks, and best practices across all engagements
• 
  Lead, mentor, and scale a
  cross-functional team
  of data engineers, analysts, and integration specialists
• 
  Drive adoption of
  AI-assisted development tools
  (e.g., Cursor, Claude Code, GitHub Copilot) as an integral part of the engineering workflow
• 
  Design and deliver
  advanced AI solutions
  , including:
  
  • 
    LLM integrations ( Large Language Model)
  • 
    Prompt engineering frameworks
  • 
    Agentic workflows
  • 
    RAG-based architectures
• 
  Architect and oversee
  end-to-end data solutions
  , including cloud data platforms, ERP integrations, and reporting systems
• 
  Act as the
  technical authority
  , providing hands-on guidance through solution design, code reviews, and engineering best practices
• 
  Collaborate with internal stakeholders and clients to identify opportunities for
  AI-driven optimization and automation
• 
  Establish and enforce
  data governance, quality standards, and responsible AI practices.

Required Experience

• 
  10+ years of experience in
  data engineering, analytics, or data platform development
• 
  Minimum 5 years of hands-on experience in
  applied AI/ML
  , including LLMs and modern AI frameworks
• 
  Proven, day-to-day experience with
  AI-assisted development tools
  (such as Cursor, Claude Code, GitHub Copilot)
• 
  Demonstrated success in leading
  technical teams within consulting or managed services environments
• 
  Strong ability to translate
  technical solutions into business value
  for stakeholders.

Mandatory Key Skills

Core Technical Skills

• 
  Strong proficiency in
  Python and SQL (including stored procedures)
• 
  Hands-on experience with
  cloud data platforms
  (Azure, Snowflake, Databricks)
• 
  Expertise in building and managing
  ETL/ELT pipelines
• 
  Experience with
  business intelligence tools
  (Power BI, Tableau, Looker)

AI & Advanced Capabilities

• 
  Deep understanding of:
  
  • 
    Large Language Models (LLMs)
  • 
    Prompt engineering techniques
  • 
    RAG (Retrieval-Augmented Generation) architectures
  • 
    Agentic AI frameworks
• 
  Experience designing and deploying
  production-grade AI solutions
• 
  Regular usage of
  AI-assisted development tools
  in coding and delivery workflows

Leadership & Stakeholder Skills

• 
  Proven experience in
  team leadership, mentoring, and capability building
• 
  Strong
  architecture and code review
  expertise
• 
  Ability to communicate effectively with both
  technical and non-technical stakeholders

Business & Consulting Orientation

• 
  Strong problem-solving skills with the ability to convert
  business requirements into scalable technical solutions
• 
  Experience in
  client-facing roles
  and consulting environments
• 
  Ability to articulate
  business impact and ROI
  of data and AI initiatives

Preferred Qualifications (Good to Have)

• 
  Experience with
  ERP platforms
  (SAP, Dynamics, Plex)
• 
  Familiarity with
  workflow automation tools
  (e.g., n8n)
• 
  Background in leading analytics consulting firms (e.g., Tiger Analytics, Fractal, Tredence)
• 
  Contributions to
  open-source AI or data engineering projects.

below are the Mandatory skill sets

• 
  Strong programming expertise in
  Python and SQL (including stored procedures)
• 
  Hands-on experience in building and managing
  ETL/ELT data pipelines
• 
  Experience with
  cloud data platforms
  (Azure, Snowflake, Databricks)
• 
  Solid understanding of
  data architecture and end-to-end data engineering workflows
• 
  Proven hands-on experience with
  Applied AI
  , including:
  
  • 
    Large Language Models (LLMs)
  • 
    Prompt Engineering
  • 
    RAG (Retrieval-Augmented Generation) architectures
  • 
    Agentic AI / workflow frameworks
• 
  Demonstrated experience in
  building and deploying AI solutions in production environments
• 
  Regular, hands-on usage of
  AI-assisted development tools
  such as:
  
  • 
    Cursor
  • 
    Claude Code
  • 
    GitHub Copilot
• 
  Experience in
  technical leadership
  , including:
  
  • 
    Leading/mentoring engineering teams
  • 
    Solution architecture and design
  • 
    Code reviews and technical governance
• 
  Strong understanding of
  data + analytics ecosystem
  , including BI tools (Power BI, Tableau, or Looker)
• 
  Experience working in
  client-facing or consulting environments
• 
  Ability to translate
  business requirements into scalable technical solutions
• 
  Strong
  communication and stakeholder management skills
  , including explaining technical concepts to non-technical audiences