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.
- Robust Python experience for data engineering and analytics.
- Familiarity with modern AI

📌 Director DataOps _ Data Analytics and AI (Dehradun)
🏢 Cynet Systems
📍 Dehradun