Delivery Lead

Delivery Lead

Location:

Experience:

Travel

Work Hours:

About the Role:

Key Responsibilities:

Delivery & Program Management

• Lead end-to-end delivery of large-scale data transformation programs.
• Manage multiple workstreams across geographies, ensuring timely and quality outcomes.
• Drive agile delivery practices and continuous improvement initiatives.

Client & Account Management

• Own client relationships at senior technical and business levels.
• Scale accounts by identifying new opportunities and aligning delivery with client goals.
• Handle escalations, governance, and stakeholder communication effectively.

Team Leadership & Talent Management

• Build, mentor, and scale high-performing technical teams.
• Onboard new talent, manage performance, and foster a collaborative culture.
• Align team structure with evolving delivery needs and client expectations.

Technical Oversight

• Provide architectural guidance and technical leadership across Snowflake, Databricks, and cloud platforms.
• Lead modernization efforts from legacy systems (e.g., Teradata) to modern data platforms.
• Ensure best practices in data engineering, DevOps, and platform governance.

Strategic Thinking & Innovation

• Bring a strong point of view on the future of Data & AI.
• Collaborate with clients on AI-readiness, data strategy, and innovation roadmaps.
• Stay ahead of industry trends and emerging technologies.

Required Skills & Experience:

• 15+ years of experience in IT, with at least 5 years in delivery leadership roles.
• Hands-on background in software/data engineering, having grown through technical ranks.
• Proven experience in managing and scaling large accounts and delivery teams.

• Strong expertise in Snowflake and Databricks (Either will work)

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• Experience in modernizing legacy data estates (e.g., Teradata, Netezza).
• Domain experience in Financial Services or Insurance.
• Strong communication, stakeholder management, and problem-solving skills.
• Ability to work in high-pressure, commercially driven environments.

Preferred Qualifications:

• Certifications in Snowflake, Databricks, or cloud platforms (AWS, Azure, GCP).
• Exposure to AI/ML use cases and data science workflows.
• Experience working with global teams and clients across time zones.

Soft Skills

• Strategic mindset with hands-on execution ability.
• High emotional intelligence and team empathy.
• Strong presentation and storytelling skills.
• Adaptability and resilience in dynamic environments.