Director of Data, Analytics & AI

Location: Noida Sector 27

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 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, Big Query, Python, AI/LLMs, etc.)