Senior Delivery Manager/Associate Director - Analytics & AI/ML

Job Description:Role & Responsibilities:

Looking for Immediate Joiners - Less than 15 Days Notice Period.

About Quantzig:

Experience: Minimum 8+ Years in Analytics, Data Engineering and AI/ML related services delivery leadership role.

Website: https://www.quantzig.com/

Key Responsibilities:1. Service Delivery & Project Management:

• Own end-to-end delivery of analytics, data engineering, AI/ML and Enterprise Data Transformation projects, ensuring delivery excellence and 100% client satisfaction.

• Translate business requirements into scalable data/analytics solutions.

2. Client Engagement & Stakeholder Management:

• Act as the primary point of contact for clients, providing consultative guidance and ensuring expectations are met.

• Drive business growth by building trusted relationships with client stakeholders through regular updates, workshops, and solution demonstrations.

3. Team Leadership & Collaboration:

• Lead, mentor, and manage a team of data engineers, analysts, and data scientists.

• Foster a culture of accountability, innovation, and continuous learning within the team.

4. Continuous Improvement:

• Identify opportunities to optimize delivery processes, frameworks, and methodologies.

• Stay updated with emerging technologies and industry trends to drive innovation.

Qualifications & Skills:

• Education: MBAs/Bachelors/Masters degree in Engineering.

• Experience: 8+ years of experience in analytics, BI data engineering services delivery, preferably in a client services driven environment. Should have managed team size ranging from 40 - 100 employees.

Technical Skills:

• Proficiency in SQL, Python, PySpark, or Scala.

• Hands-on experience with data platforms (AWS, Azure, GCP, Databricks, Snowflake, etc.).

• Strong knowledge of ETL, data pipelines, APIs, and data modeling.

• Experience with BI tools (Tableau, Power BI, Qlik, etc.) and advanced analytics/ML frameworks.

Soft Skills:

• Strong client-facing and communication skills.

• Excellent problem-solving, stakeholder management, and organizational skills.

• Ability to manage multiple priorities in a fast-paced, global environment.

Must Haves:

• Drive and energy to work hard and achieve success in an entrepreneurial environment.

• Be a consultant to our clients. Think out-of-the-box solutions to help clients in solving their business problems.

• Passion towards learning is a must. You must be able to merge the art of consulting to analytics services delivery.

• Should have hands-on experience in delivering projects across multiple industries and analytics.