Job Overview:

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 :

Enterprise Data Leadership :

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.

Presales & Solutioning :

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.

Team Leadership :

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 up-to-date 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.)

📌 Director of Data, Analytics & AI (Sector 27)
🏢 Cynet India
📍 Sector 27