Director DataOps _ Data Analytics and AI

Cynet Systems; Dadri, Dehradun; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Cynet Systems is seeking a Director DataOps Data, Analytics & AI to lead the company’s data, analytics, and AI initiatives. The role combines hands-on technical leadership with strategy, governance, and cross-functional collaboration to deliver scalable analytics and AI solutions that drive business decisions.

The candidate will shape the data platform roadmap, define KPIs, and partner with business leaders to deliver real-time insights using statistical analysis and ML.

Qualifications

• 8+ years in data engineering, analytics, BI, or data science with technical leadership experience.

Responsibilities

• Lead the enterprise data strategy and cloud data platform development with a long-term analytics roadmap.
• Define data models, KPIs, governance, security, and data management best practices.
• Provide technical leadership across SQL, Python, and code reviews, evaluating emerging AI tools.
• Partner with executives to translate business challenges into actionable data solutions.
• Build and mentor a high-performing data and analytics team and establish engineering standards.

Skills

Data engineering

Analytics

Python

ML concepts

Enterprise data platforms

Tools

GCP

BigQuery

Vector databases

AI agents

RAG

Job description

Director DataOps Data, Analytics & AI

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.

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.
• Tech stack (GCP, BigQuery, Python, AI/LLMs, etc.)