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 up-to-date 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 contemporary AI
📌 Director Dataops Data Analytics And Ai Dehradun
🏢 Cynet Systems
📍 Dehradun
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