Associate Product Data Specialist

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.

At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.

We are an equal opportunity employer, and do not discriminate based on an individuals race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.

We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.

The Associate Product Data Specialist supports the accuracy and completeness of product and solutions data across core technology platforms. Operating under direct supervision, this role focuses on task-based execution, data entry, and foundational analysis. It is designed for early-career professionals building expertise in product data management and operations.

Key Responsibilities

• Assist in creating and maintaining product, services, and SKU data records across designated platforms, following established procedures
• Support data hygiene efforts by identifying and flagging duplicate, incomplete, or inconsistent product information for review
• Follow standard operating procedures (SOPs) to ensure consistent product data entry and taxonomy alignment
• Assist with the cataloging and upkeep of solution scoping templates and product sizing reference materials
• Pull and organize routine data reports under the guidance of senior team members
• Coordinate with team members to gather product information needed for catalog updates
• Document task steps and data sources to support process transparency and knowledge transfer
• Complete a structured 90-day onboarding plan covering core platforms, SOPs, and data quality standards
• Supports the teams use of existing agentic AI systems by running predefined workflows, logging outputs, and flagging errors or unexpected results for senior review
  
  

Required Qualifications

• Bachelors degree in Business, Information Systems, or a related field (or equivalent experience)
• 1-2 years of experience in a technology services environment
• Proficiency in Microsoft Excel
• Strong attention to detail and ability to follow documented procedures
• Basic understanding of AI Prompting and Agentic AI approach
• Effective written and verbal communication skills
  
  

Preferred Qualifications

• Exposure to Salesforce or similar CRM/ERP platforms
• Exposure to Power BI
• Familiarity with product catalogs, SKU structures, or inventory management concepts
• Experience in an IT services or technology distribution environment
  
  

Why AHEAD

Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.

We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.

India Employment Benefits Include

Comprehensive health insurance coverage for employees, with options to extend coverage to dependents

Paid time off and company holidays, along with additional leave benefits as per policy

Flexible work arrangements, supporting work-life balance

Learning and development opportunities to support continuous growth and upskilling

Employee wellness initiatives and programs focused on physical and mental well-being

Retirement and statutory benefits in line with India regulations

Inclusive and people-first culture, with a strong focus on collaboration and ownership

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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