We are looking for a Data & AI Associate to join NASSCOM s AI team and act as a strategic advisor for the industry on data & AI infrastructure, platforms, and innovation. This role is critical in enabling Indian enterprises, startups, and policymakers to navigate the evolving data ecosystem and adopt future-ready data strategies.
You will be responsible for driving cross-industry engagement, developing best practice frameworks, advising stakeholders on scalable data architecture and governance, and supporting key initiatives including IndiaAI, Responsible AI Hub, and sectoral data partnerships.
Data and AI Associate | nasscom Data and AI Associate
We are looking for a Data & AI Associate to join NASSCOM s AI team and act as a strategic advisor for the industry on data & AI infrastructure, platforms, and innovation. This role is critical in enabling Indian enterprises, startups, and policymakers to navigate the evolving data ecosystem and adopt future-ready data strategies. You will be responsible for driving cross-industry engagement, developing best practice frameworks, advising stakeholders on scalable data architecture and governance, and supporting key initiatives including IndiaAI, Responsible AI Hub, and sectoral data partnerships.
Location, Department Unit and Reporting
Basic Functions/ Job Responsibility
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Industry Advisory & Thought Leadership:
- Act as a domain expert on data & AI platforms (cloud, hybrid, on-prem), data lakes, warehouses, mesh, and lakehouses.
- Advise companies (from startups to small and medium enterprises) on modern data architecture, integration, governance, and tooling.
- Support sector-specific data strategies (healthcare, BFSI, manufacturing, etc.) through working groups and roundtables.
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Research & Framework Development:
- Lead development of whitepapers, policy notes, and best practices on data interoperability, privacy-preserving data systems, and AI-ready data infrastructures.
- Track global benchmarks on data infrastructure and translate insights into actionable frameworks for companies.
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Stakeholder Engagement:
- Collaborate with government bodies, regulators, and industry leaders to co-develop India s data economy vision.
- Engage with ecosystem players cloud providers, analytics firms, data exchange platforms, startups, and academia.
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Capacity Building:
- Support NASSCOM s data & AI skilling and literacy efforts through content, training modules, and evangelism.
- Mentor industry partners and incubated startups on building scalable and ethical data architectures.
Knowledge, Skills, Qualifications, Experience
- 3 to 5 years of experience
- Deep understanding of:
- Modern data platforms (e.g., Snowflake, Databricks, Google BigQuery, AWS Redshift, Azure Synapse)
- Data integration and pipeline orchestration (e.g., Airflow, dbt, Kafka, Fivetran)
- Governance and compliance (e.g., data cataloging, lineage, access control, anonymization)
- Knows using AI models for building products and solutions.
- Knowledge on choosing right models based on the solution proposed.
- Knowledge on the AI tools (MCP, Langchain, Langraph) and its integration techniques.
- Knowledge on AI products, copilots that can be used for better productivity.
- Experience advising or working with cross-functional stakeholders technical teams, policy makers, and business leaders.
- Knowledge of data standards, India s data protection laws, and international practices (e.g., GDPR, Open Data).
- Ability to suggest development process, fine-tune, and evaluate AI/ML models and algorithms to fit client needs.
- Build proofs-of-concept (PoCs), prepare demos, and support pilot projects in Generative AI (e.g. chatbots, text/image generation, data extraction).
- Assist with data wrangling, feature engineering, model training, and fine-tuning.
- Stay up to date on AI trends, tools, and frameworks to suggest relevant solutions for clients.
- Engage in knowledge sharing through whitepapers, internal training sessions, or publishing short research findings to maintain thought leadership.
- Assist in training the upcoming AI and GenAI developers during the Nasscom developer sessions.
Preferred Qualifications:
- Experience working in consulting, think tanks, industry bodies, or tech product companies.
- Exposure to industry data challenges in sectors like BFSI, health, retail, or public sector.
- Familiarity with AI/ML platforms and responsible AI frameworks is a strong plus.
- Graduate/Postgraduate degree in Computer Science, Data Science, Engineering, or related field.
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