# Associate Director – Delivery

- Link: https://100xfounder.com/job/sigmoid-associate-director-delivery-38d1da/
- Published: 2026-07-07T11:58:44+05:30
- Author: Ishaan Vardhan

### About Sigmoid

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital.
We offer best-in-class end-to-end data value chain capabilities spanning Data Science,
Data Engineering, and Data Ops. With data and technology at the core of our solutions,
we are solving some of the toughest problems out there. Our culture is modelled 
around expertise and mutual respect with a team-first mindset. You’ll work with 
teams that push the boundaries of what-is-possible and build solutions that energize
and inspire.

**Offices: **New York | Dallas | San Francisco | Lima | Bengaluru

_The below role is for our Bengaluru office._

### Role: Associate Director – Delivery

### About the Role

You will lead delivery for large-scale Data Engineering programs, working closely
with clients to architect and drive execution of modern data platforms – data pipelines,
cloud migrations, lakehouse implementations, and real-time data processing solutions.
You will own end-to-end delivery governance across multiple engagements, act as 
a senior escalation point for clients, and provide technical and delivery leadership
to teams building enterprise-grade data engineering solutions. If you enjoy operating
at the intersection of technical depth in Data Engineering and delivery leadership,
we would like to talk to you.

### Required Skills & Competencies

 * 15-18 years of experience in Project Delivery, Client Engagement, or Data Engineering
   Delivery Management, with a significant portion focused on Data Engineering programs.
 * Strong hands-on exposure to Data Engineering tools and technologies, including
   cloud data platforms
 * Proven experience in Analytics/Consulting/IT Services, managing complex Data 
   Engineering project execution, architecture reviews, and governance.
 * Exposure to US/Global clients, with experience handling client escalations.
 * Ability to manage multiple Data Engineering project teams and pods, mentor Delivery/
   Engineering Managers and technical leads, and drive engineering process improvement
   and best practices.
 * Experience partnering with architecture/technical teams to guide platform decisions,
   technology selection, and scalability/performance considerations.
 * Strong background in resource planning, margin management, and organizational
   design within a Data Engineering delivery org.

### Note

_By submitting your application, you consent to being contacted by our Talent Acquisition
team via phone call, email, SMS, WhatsApp, or other communication channels regarding
your application and relevant career opportunities._