About The Position

We are seeking a highly experienced Delivery Lead / Technical Program Manager – Data & AI to lead large-scale data transformation and AI initiatives. This role will drive end-to-end program delivery across Data Engineering, Analytics, and Generative AI solutions. The ideal candidate will have strong expertise in Snowflake, AWS Glue, ETL/ELT frameworks, and Generative AI (Gen AI), along with proven experience managing cross-functional teams and complex enterprise programs.

Requirements

  • Good hands-on understanding of Snowflake architecture, optimization, and performance tuning.
  • Expertise in AWS Glue for data ingestion, transformation, and orchestration.
  • Deep knowledge of ETL & ELT frameworks, data pipeline design, and workflow orchestration tools (e.g., Airflow, Step Functions).
  • Experience delivering Generative AI (Gen AI) solutions, including LLM integrations, prompt engineering, and AI governance.
  • Experience working with cloud platforms (AWS preferred).
  • Strong understanding of data warehousing, data lakes, and lakehouse architectures.
  • 10+ years of overall experience with 5+ years in Technical Program Management / Delivery Leadership roles.
  • Proven experience managing multimillion-dollar enterprise data programs.
  • Strong risk management, budgeting, and vendor management capabilities.
  • Excellent communication and executive stakeholder management skills.

Nice To Haves

  • Experience in building AI-driven automation and analytics platforms.
  • Background in Banking, Asset Management, Capital Market & Wealth Management, or enterprise digital transformation programs is a plus.
  • Strategic thinker with strong execution focus
  • Ability to balance technical depth with business alignment
  • Strong problem-solving and decision-making skills
  • Leadership presence with the ability to influence senior stakeholders

Responsibilities

  • Lead end-to-end delivery of enterprise Data & AI programs across multiple workstreams.
  • Own program planning, execution, risk management, stakeholder communication, and financial tracking.
  • Drive roadmap execution aligned with business strategy and data modernization initiatives.
  • Manage distributed teams including Data Engineers, AI Engineers, Architects, and Analysts.
  • Ensure adherence to Agile / SAFe / hybrid delivery methodologies.
  • Provide architectural guidance for cloud-native data platforms using Snowflake and AWS Glue.
  • Oversee design and implementation of scalable ETL/ELT pipelines for structured and unstructured data.
  • Ensure best practices in data modeling, data governance, and data quality frameworks.
  • Lead integration of Generative AI use cases including LLM-based applications, RAG pipelines, and AI automation solutions.
  • Collaborate with architecture and security teams to ensure compliance and data protection standards.
  • Act as primary liaison between business stakeholders and technical teams.
  • Translate business requirements into scalable Data & AI solutions.
  • Present executive-level updates, dashboards, and risk mitigation plans.
  • Drive value realization and measurable business outcomes from data investments.
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