Senior Data Scientist – Technical Project Manager
Full Time - 6 PM - 3 AM IST ShiftNoida
About the role
- We are looking for a highly experienced Senior Data Scientist – Technical Project Manager to lead enterprise-scale Data Science, Data Engineering, Analytics, and AI/ML initiatives. The ideal candidate will combine strong technical project and program management capabilities with a sound understanding of Data Science, Data Modeling, Azure Data Platform, Snowflake, and Python.
- The role involves end-to-end delivery ownership, solution governance, stakeholder management, and cross-functional team leadership, with a focus on delivering data-driven transformation programs for Banking and Financial Services clients.
- This is a techno-functional, client-facing leadership role requiring the ability to bridge technical delivery, Data Science, Data Engineering, and business consulting.
Job Description
- Lead end-to-end delivery of Data Science, Data Engineering, Analytics, and Data Platform initiatives, ensuring alignment with business objectives.
- Manage project scope, budgets, timelines, risks, dependencies, resource allocation, and delivery planning.
- Drive Agile/Scrum execution and establish project roadmaps, governance frameworks, KPIs, and delivery metrics.
- Oversee the development and deployment of Machine Learning, Predictive Analytics, and AI-driven solutions.
- Guide teams across statistical modeling, forecasting, anomaly detection, customer analytics, fraud detection, AML, and risk analytics use cases.
- Oversee solution architecture and implementation across Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, Azure Machine Learning, Azure SQL, and Snowflake.
- Drive modern data platform implementations, migrations, and optimization initiatives.
- Lead conceptual, logical, and physical data modeling, ensuring scalable data architectures, data quality standards, and governance controls.
- Act as the primary interface between business stakeholders, technology teams, and client leadership.
- Facilitate requirements workshops, solution discussions, executive reviews, and steering committee meetings.
- Lead cross-functional teams of Data Scientists, Data Engineers, BI Developers, and Analysts, providing technical guidance and delivery leadership.
- Support pre-sales, solution consulting, estimation, and proposal development activities.
- Ensure model governance, explainability, and regulatory compliance across data and AI/ML initiatives.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Data Science, Mathematics, or a related discipline.
- Certifications in Azure, Snowflake, Project Management Professional (PMP), Scrum Master, or related areas will be an added advantage.
- 15–18 years of overall professional experience, including 7+ years of experience managing large-scale Data and Analytics programs and teams.
- Strong experience in technical project and program management across enterprise Data Science, Data Engineering, Analytics, and data platform initiatives.
- Experience managing Agile, Scrum, Waterfall, and Hybrid delivery models.
- Expertise in project planning, budgeting, resource management, vendor management, risk management, and stakeholder governance.
- Strong understanding of Machine Learning, Predictive Analytics, Statistical Modeling, Time-Series Forecasting, Feature Engineering, MLOps, and Model Governance.
- Hands-on working knowledge of Python and Data Science ecosystems.
- Strong experience with Azure Data Platform, Snowflake, SQL Server, Data Warehousing, Data Lakes, and ETL/ELT frameworks.
- Hands-on expertise in conceptual, logical, and physical data modeling, dimensional modeling, data architecture, data governance, and data quality.
- Experience delivering Banking and Financial Services solutions across AML, fraud detection, financial crime compliance, credit risk, customer analytics, and regulatory reporting.
- Experience managing client relationships, executive stakeholders, cross-functional teams, and enterprise delivery engagements.
- Technical Project & Program Management: End-to-end delivery management, project planning, budgeting, resource allocation, risk management, vendor management, stakeholder governance, Agile, Scrum, Waterfall, and Hybrid delivery models.
- Data Science & Analytics: Machine Learning, Predictive Analytics, Statistical Modeling, Time-Series Forecasting, Feature Engineering, MLOps, Model Governance, Anomaly Detection, and AI/ML solutions.
- Azure Data Platform: Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS), Azure Machine Learning, and Azure SQL.
- Data Platforms & Engineering: Snowflake, SQL Server, Data Warehousing, Data Lakes, and ETL/ELT frameworks.
- Data Modeling & Governance: Conceptual, Logical, and Physical Data Modeling, Dimensional Modeling, Data Architecture, Data Governance, and Data Quality.
- Banking & Financial Services: AML, Fraud Detection, Financial Crime Compliance, Credit Risk, Customer Analytics, and Regulatory Reporting.
- Preferred Technical Skills: Informatica (IDMC, PowerCenter), SAS Analytics, Microsoft Fabric, Power BI, and exposure to Generative AI.
- Client & Stakeholder Management: Client engagement, executive communication, requirements workshops, solution discussions, steering committee management, and business-to-technology alignment.
- Team Leadership: Cross-functional team management, mentoring, technical guidance, delivery ownership, and collaboration across Data Science, Data Engineering, BI, and Analytics teams.
- Solution Consulting: Pre-sales support, solution design, estimation, proposal development, and business consulting.
- Key Competencies: Technical Project Management, Program Delivery, Data Science, Data Modeling, Azure Data Platform, Snowflake, Python, SQL Server, Analytics, AI/ML, BFSI Domain Expertise, Stakeholder Management, Client Engagement, Team Leadership, and Agile Delivery.
Perks & Benefits
Medical Insurance
Choose from Health Savings Plan, HRA, or PPO, whichever best fits your healthcare needs and budget.
Parental leave
Take the time you need to welcome and care for your growing family, with leave designed to support you through this milestone.
Training and development
Access structured, project-specific training and continuous learning opportunities that help you grow in your role and career.
Two-way transport
Enjoy stress-free commuting with two-way cab pick-up and drop-off facilities for every shift.
