Director of Data, Analytics & AI

Cynet India; Dadri; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Cynet India seeks a seasoned Head of Data, Analytics and AI to lead our enterprise data initiatives, shaping strategy, building scalable platforms, and partnering with business leaders to drive data-driven decisions across the organization.

You will define data models and KPIs, implement governance, oversee data ingestion and ML-enabled analytics, and mentor a cross-functional team while delivering high-impact solutions for customers and internal stakeholders.

Qualifications

• 8+ years of experience in data engineering or analytics with leadership responsibilities
• Strong Python experience for data engineering and analytics
• Experience with AI technologies including LLMs, vector databases, RAG, and AI agents
• Experience building enterprise data platforms and AI-enabled analytics
• Proven ability to work with presales teams to craft proposed solutions and estimates for clients

Responsibilities

• Lead the enterprise data strategy, including a scalable cloud data platform and long-term analytics roadmap
• Define enterprise data models, KPIs, and governance frameworks to ensure quality and security
• Manage role-based access control across data sources
• Build and manage data ingestion pipelines from structured and unstructured sources
• Develop AI-powered predictive models and dashboards to drive real-time decision-making
• Partner with leadership to define KPIs and deliver insights through statistical analysis and ML

Skills

Python

Data engineering

Leadership

Stakeholder management

Machine learning

Cloud platforms

Tools

GCP

BigQuery

SQL

Job description

• Lead the company’s enterprise data, analytics, and AI initiatives.
• This is a hands-on technical leadership role responsible for defining data and analytics strategy, partnering with business leaders, and building scalable analytics and AI solutions that drive business decisions.

Key Responsibilities :

• Lead the enterprise data strategy, including building a scalable cloud data platform and long-term analytics roadmap.
• Define enterprise data models, KPIs, and governance frameworks to ensure quality, security, and data management best practices.
• Manage role-based access control across all data sources
• Build and manage data ingestion pipelines from structured and unstructured data sources

AI & Analytics :

• Develop AI-powered predictive models and dashboards to drive real-time decision-making and automate reporting.
• Partner with leadership to define KPIs and deliver actionable insights through statistical analysis and machine learning.

Technical Leadership :

• Design and implement modern data architecture, including scalable pipelines that integrate disparate business systems.
• Serve as a technical contributor for SQL, Python, and code reviews, while evaluating and introducing emerging AI tools.

Business Partnership :

• Serve as a trusted advisor to executive leadership, translating complex business challenges into actionable technical solutions.
• Collaborate cross-functionally with business units to influence organisational priorities using data-driven insights.
• Partner with the presales and proposal teams to develop proposed technical solutions, solution architectures, and delivery approaches for prospective clients.
• Prepare effort estimates, staffing models, and level-of-effort assumptions that support pricing and proposal submissions.
• Participate in client-facing solution discussions, technical presentations, and orals to articulate the proposed approach and its business value.
• Build and mentor a high-performing, cross-functional data and analytics team.
• Establish engineering standards and analytics best practices to foster a culture of innovation and continuous improvement.

Qualifications :

• 8+ years in data engineering, analytics, BI, or data science with technical leadership experience.
• Strong Python experience for data engineering and analytics.
• Familiarity with modern AI technologies including LLMs, vector databases, RAG, and AI agents.
• Experience building enterprise data platforms and AI-enabled analytics.
• Demonstrated experience working with presales teams to create proposed solutions and effort estimates for potential clients.
• Tech stack (GCP, BigQuery, Python, AI/LLMs, etc.)