Job Description

Job Description

Director - Data Practice

Location: Princeton Junction, NJ

Type of job – Full time

This is Onsite role with multiple local client visits (with few travels to client site)

About Us:

We are a growing organization providing specialized data services to diverse customers. While we have strong individual contributors delivering client projects, we are now ready to formalize and expand into a comprehensive Data Practice that spans strategy, governance, platforms, and advanced analytics. We’re looking for a proven leader in data and analytics services to build and scale this practice from the ground up.

We are specifically looking for candidates with the following background and experience:

• Company Background:
• Candidates should come from consulting firms or implementation companies .
• We are not considering profiles from end clients (e.g., PepsiCo, Coca-Cola, Bristol Myers, etc.), as such roles typically involve being the client rather than building business for the organization.
• Key Experience Required:
• Proven experience in building and setting up AI and Data practices from scratch .
• Strong ability to establish and grow data practices, including strategy, delivery models, and go-to-market initiatives .
• A blend of sales and technology expertise – someone who can actively bring in new business while having a solid understanding of data and AI technologies.
• Ideal Candidate:
• A business-oriented leader who has successfully created and scaled data practices in the past.
• Comfortable in client-facing and sales-driven roles with deep knowledge of modern data platforms, cloud, and AI ecosystems.

1. Company Background:

• Have you primarily worked with consulting or implementation firms (e.g., Deloitte, Accenture, TCS, Infosys, Capgemini, etc.)?
• Have you worked directly for end clients (like PepsiCo, Coca-Cola, Bristol Myers, etc.)?
• (If yes, deprioritize.)

1. Practice Building Experience:

• Have you ever built or set up a Data & AI practice from scratch for an organization?
• Can you share an example of how you structured the practice (team building, delivery models, partnerships, etc.)?

1. Sales & Business Growth:

• Do you have direct experience in business development, pre-sales, or client acquisition for Data/AI services?
• Have you contributed to revenue growth targets ? Please share an example.

1. Technology Exposure:

• What is your exposure to modern data and AI technologies (e.g., cloud platforms like AWS/Azure/GCP, data engineering, AI/ML solutions)?
• Are you able to engage in technical conversations with CXOs while also driving business deals?

1. Leadership & Strategy:

• How many years of experience do you have in leadership roles within data and AI practices?
• Have you managed global delivery teams and built strategic partnerships with cloud providers or technology vendors?

Regards,

Jagannath Gaddam

jagannath.gaddam@quantumIntegrators.com

609-632-0621 x 135 Office,

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