Technical Delivery Lead – Data Platform & AI Analytics (Snowflake)

Fipsar Inc

Hillsborough Township (NJ)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Fipsar Inc in the United States is seeking a hands-on Technical Delivery Lead to guide end-to-end delivery of a Snowflake-based data platform, focusing on centralized business logic, reliability, and AI-driven analytics.

You will own delivery, lead client-facing engagements, coordinate cross-functional teams, and advance BI modernization and data quality initiatives while ensuring governance and LOE-based planning.

Qualifications

  • Proven track record delivering Snowflake-based data platforms.
  • Experience leading data engineering teams in managed services or client-facing environments.
  • Strong understanding of data modeling, pipelines, and governance.
  • Ability to drive end-to-end delivery and stakeholder management.

Responsibilities

  • Own end-to-end delivery across Snowflake data platform operations and analytics initiatives.
  • Lead onshore/offshore delivery coordination and client-facing governance.
  • Modernize BI environments and ensure a single source of truth for metrics.

Skills

Snowflake
Data Platform
ETL/ELT
Data modeling
Client-facing
LOE/Estimation
Onshore-Offshore

Tools

Qlik
Power BI
Snowpipe
Talend

Job description

Technical Delivery Lead – Data Platform & AI Analytics (Snowflake)

Onsite (US) | Client-Facing | Managed Services

About the Role

We are looking for a hands-on Technical Delivery Lead to drive end-to-end delivery across a modern Snowflake-based data platform, with a focus on centralizing business logic, improving data reliability, and enabling AI-driven analytics.

You will combine technical depth, delivery ownership, and client engagement to stabilize current operations while driving forward-looking transformation initiatives.

Key Responsibilities
Delivery Ownership & Leadership
  • Own end-to-end delivery across:
  • Data platform operations (Snowflake)
  • Enhancements and change requests
  • New data and analytics initiatives
  • Act as the single point of accountability for delivery outcomes
  • Lead coordination across onsite and offshore teams
Data Platform & Architecture (Snowflake-first)
  • Drive design and implementation of:
  • Scalable data models
  • Centralized business logic in Snowflake
  • Reliable data pipelines and transformations
  • Ensure consistency between:
  • Source systems
  • Data warehouse
  • Downstream reporting tools
BI Modernization & Transition
  • Modernize the Qlik dashboards to the data platform
  • Define and enforce single source of truth for metrics and KPIs
  • Support rationalization and simplification of reporting layers
AI-Driven Analytics & Operations
  • Identify and implement opportunities for:
  • Data quality monitoring and anomaly detection
  • Automated reconciliation and alerting
  • AI-assisted analytics and insights
  • Work with internal teams to accelerate adoption of AI-enabled delivery models
Client Engagement & Stakeholder Management
  • Serve as the primary client-facing delivery lead
  • Lead governance, status reporting, and stakeholder discussions
  • Confidently handle conversations around:
  • Data discrepancies and root cause analysis
  • Delivery plans, estimates, and priorities
  • Build trust through proactive communication and ownership
Enhancements & Planning
  • Own enhancement intake, prioritization, and backlog management
  • Provide accurate LOE estimates and execution plans
  • Drive structured planning for enhancements and new initiatives
Operations & Support Excellence
  • Ensure strong incident, problem, and change management
  • Drive SLA adherence and operational stability
  • Establish clear ownership across teams
Onshore-Offshore Coordination
  • Implement effective follow-the-sun delivery model
  • Ensure seamless handoffs and collaboration
  • Enable offshore teams with clear requirements and business context
Required Experience
  • 10 years in data & analytics delivery / data engineering leadership
  • Strong hands-on experience with:
  • Snowflake (data modeling, SQL, pipelines)
  • Modern data architectures and ETL/ELT frameworks
  • Proven experience in managed services / support environments
  • Strong client-facing experience with stakeholder management
  • Experience in planning, estimation (LOE), and delivery ownership
Preferred Experience
  • Experience in modernizing BI environments
  • Exposure to BI tools (Qlik, Power BI, etc.)
  • Familiarity with tools such as:
  • Snowpipe, Talend, or similar data integration tools
  • Experience with AI/ML, data quality frameworks, or automation initiatives
  • Experience in life sciences / biopharma domain
What We’re Looking For
  • Strong ownership and accountability mindset
  • Ability to lead from the front (not just coordinate)
  • Confidence in handling data, analytics, and business discussions with clients
  • Structured approach to problem-solving, planning, and execution
  • Passion for building next-generation AI-enabled data platforms
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