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 contemporary 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.

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.
Solid Python experience for data engineering and analytics.
Familiarity with up-to-date AI technologies incl

📌 Director Of Data, Analytics Noida
🏢 Cynet India
📍 Noida