Job DescriptionJob Overview

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- Lead the company's enterprise data, analytics, and AI initiatives.
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- 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.
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nKey Responsibilities :

NEnterprise Data Leadership :

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- Lead the enterprise data strategy, including building a scalable cloud data platform and long-term analytics roadmap.
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- Define enterprise data models, KPIs, and governance frameworks to ensure quality, security, and data management best practices.
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- Manage role-based access control across all data sources
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- Build and manage data ingestion pipelines from structured and unstructured data sources
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nAI & Analytics:

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- Develop AI-powered predictive models and dashboards to drive real-time decision-making and automate reporting.
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- Partner with leadershipto define KPIs and deliver actionable insights through statistical analysis and machine learning.
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nTechnical Leadership :

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- Design and implement modern data architecture, including scalable pipelines that integrate disparate business systems.
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- Serve as a technical contributor for SQL, Python, and code reviews, while evaluating and introducing emerging AI tools.
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nBusiness Partnership :

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- Serve as a trusted advisor to executive leadership,



translating complex business challenges into actionable technical solutions.
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- Collaborate cross-functionally with business units to influence organisational priorities using data-driven insights.
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nPresales & Solutioning :

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- Partner with the presales and proposal teams to develop proposed technical solutions, solution architectures, and delivery approaches for prospective clients.
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- Prepare effort estimates, staffing models, and level-of-effort assumptions that support pricing and proposal submissions.
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- Participate in client-facing solution discussions, technical presentations, and orals to articulate the proposed approach and its business value.
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nTeam Leadership:

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- Build and mentor a high-performing, cross-functional data and analytics team.
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- Establish engineering standards and analytics best practices to foster a culture of innovation and continuous improvement.
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nQualifications:

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- 8+ years in data engineering, analytics, BI, or data science with technical leadership experience.
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- Solid Python experience for data engineering and analytics.
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- Familiarity with modernAI technologies including LLMs, vector databases, RAG, and AI agents.
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- Experience building enterprise data platforms and AI-enabled analytics.
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- Demonstrated experienceworking with presales teams to create proposed solutions and effort estimates for potential clients.
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- Tech stack (GCP, BigQuery, Python, AI/LLMs, etc.)
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📌 Director Of Data, Analytics & Ai (Faridabad)
🏢 Cynet India
📍 Faridabad