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Salary
≈ $58k – $142k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Architect · 8+ years exp

First seen by Alion on Sep 24, 2026.

Overview
Company
Impact
Profile match
Drive enterprise AI transformation with Quantzig's data, analytics, and automation solutions built for measurable business outcomes.

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.

Skills

Delivery Management, Analytics, Artificial Intelligence, Machine Learning

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