Hiring: Data Procurement Executive

Location: Lucknow (Onsite)

Experience: Freshers / 0–1 Year

Preference: Immediate Joiners

About the Role

We are looking for a Data Procurement Executive to support data acquisition initiatives by identifying, sourcing, and procuring high-quality datasets.

The role involves conducting business meetings with potential partners and data providers, building skilled relationships, and executing effective procurement strategies.

Key Responsibilities
Execute data procurement activities to ensure timely acquisition of high-quality datasets.
Identify, evaluate, and implement effective strategies for sourcing and procuring relevant datasets.
Conduct meetings with data providers, vendors, and stakeholders.
Coordinate with external partners for accurate and efficient data acquisition.
Collaborate with internal teams to align procurement activities with business requirements.
Research and identify potential data providers, vendors, and strategic partners.
Negotiate and coordinate with external stakeholders for cost-effective and timely procurement.




Maintain proper documentation and records of procurement activities and vendor interactions.
Track procurement requirements and ensure timely follow-ups.

Requirements
Fresh graduates or candidates with 0–1 year of experience can apply.
Excellent verbal and written communication skills.
Solid negotiation, coordination, and relationship-building abilities.
Valuable analytical and problem-solving skills.
Proactive and adaptable approach.
Ability to work independently as well as in a team.
Willingness to travel occasionally for business meetings and professional engagements.
Basic understanding of data, operations, or procurement processes is a plus.
Comfortable working onsite in Lucknow.
Immediate joiners will be preferred.

Why Join?
Opportunity to work in the AI and data industry.
Exposure to real-world data procurement and AI operations.
Interaction with businesses, vendors, and technology partners.
Growth-oriented and collaborative work environment.
Learning opportunities across data, AI, operations, and business development.

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