Senior Manager / Delivery Lead - Data Science
- Tredence
- 12 - 15 years
- Pune
- 2 months ago
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Job Description
We are seeking a highly experienced Senior Manager Data Science to lead strategic analytics initiatives and guide high-impact data science teams. The ideal candidate has deep expertise across machine learning, advanced analytics, AI/GenAI, and data strategy, with a proven track record of delivering business outcomes through data-driven solutions.
This role combines technical leadership, people management, and cross-functional collaboration, driving innovation and scaling enterprise analytics capabilities.
Key Responsibilities
Leadership & Strategy
- Define and execute the data science roadmap aligned with business goals.
- Lead teams of Data Scientists, ML Engineers, and Analysts across multiple projects.
- Champion data-driven decision making and evangelize AI/ML/GenAI adoption across the organization.
- Partner with senior executives to identify high-value opportunities and shape long-term AI strategy.
Technical Oversight
- Provide architectural and technical direction for ML models, predictive analytics, GenAI solutions, NLP, LLM, and optimization models.
- Oversee end-to-end model life cycle: data exploration, feature engineering, modeling, evaluation, deployment, monitoring.
- Review and guide development of RAG systems, LLM pipelines, forecasting models, recommendation engines, and risk scoring systems depending on business needs.
- Ensure best practices in MLOps, versioning, reproducibility, and scalable deployment.
Team Management & Development
- Manage and mentor a team of 1030 data professionals depending on organizational setup.
- Drive talent development through coaching, performance management, and skill-building initiatives.
- Foster a culture of innovation, experimentation, and technical excellence.
Cross-Functional Collaboration
- Collaborate closely with Engineering, Product, BI, Cloud, and Business stakeholders.
- Translate business problems into analytical frameworks and actionable insights.
- Work with product and engineering teams to integrate AI solutions into production systems.
Governance, Quality & Delivery
- Ensure projects are delivered with high quality, accuracy, and business impact.
- Establish best practices for model governance, documentation, model risk management, and compliance.
- Prepare executive-level presentations, dashboards, and communication materials.
Required Qualifications
- Masters or PhD in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related fields.
- 1215 years of experience in data science, advanced analytics, or AI, including at least 5+ years in people leadership roles.
- Strong technical expertise in:
- Machine learning, deep learning, NLP, GenAI, LLM fine-tuning
- Statistical modeling, forecasting, optimization
- Cloud platforms (AWS, Azure, GCP) and MLOps frameworks
- Proven experience delivering enterprise-scale AI/ML solutions.
- Excellent leadership, communication, and stakeholder management skills.
Preferred Skills
- Experience in GenAI/LLM platform architecture, prompt engineering, and model evaluation.
- Strong understanding of data engineering, data architecture, and real-time pipelines.
- Familiarity with AI ethics, governance, and model risk frameworks.
- Experience working in BFSI, Retail, Healthcare, Manufacturing, or Tech domains (customize as needed).
- Prior experience managing multi-location or global teams.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Manager - Data ScienceEmployement Type: Full timeContact Details:
Company: TredenceLocation(s): Pune
Keyskills: Machine Learning Delivery Leadership Python Data Science Tensorflow Data Engineering Artificial Intelligence Natural Language Processing Aiml Deep Learning
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Tredence
Tredence is a global data science solutions provider focused on solving the last mile problem in AI. The last mileis the gap between insight creation and value realization.Headquartered in San Jose, the company embraces a vertical-first approach and an ou
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