Data Production Lead

Tracxn is a leading market intelligence platform focused on private company data, supporting Venture Capital funds, Private Equity firms, Investment Banks, and Corporates worldwide. We monitor millions of companies across a wide range of sectors to deliver deep insights that enable clients to make data-driven decisions.

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Founded by Neha Singh (ex-Sequoia, BCG | MBA, Stanford GSB) and Abhishek Goyal (ex-Accel Partners, Amazon | BTech, IIT Kanpur).

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Job Summary

We are seeking a first-principles thinker to shape and lead data strategy across Tracxn’s core data production units. This is a high-impact role focused on problem solving at the boundary of strategy and execution. You will partner with senior stakeholders to pinpoint data production challenges, develop solutions, and take ownership of end-to-end implementation.

The ideal candidate demonstrates intellectual depth and rigour—someone who moves beyond surface-level fixes, thoroughly researches issues, and approaches decisions with careful thought.

Data Strategy

• Own and lead the data strategy for assigned data production units, identifying coverage gaps, quality issues, and scalability bottlenecks.
• Convert business and client data requirements into clear, actionable roadmaps.
• Benchmark Tracxn’s data assets against industry standards to uncover improvement areas and strategic opportunities.

‍Problem Solving & Implementation

• Decompose complex, unstructured data problems into well-defined problem statements and solution blueprints.
• Design and implement automation workflows to enhance data production throughput and accuracy.

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Cross-functional Collaboration

• Work with Product, Engineering, and Data teams to turn data strategy into scalable processes, while aligning on data definitions, standards, and delivery requirements.
• Share data strategy, ongoing progress, and key metrics with senior leadership.

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Qualifications & Skills

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Must-Have

• Bachelor's degree in Engineering or a related field from a Tier-1 institution (IITs, BITS Pilani, or equivalent).
• Strong first-principles problem-solving skills, with the ability to break down ambiguous problems and design practical, scalable solutions.
• 5–8 years of experience in data strategy, data operations, analytics, business strategy, or other analytical, technology-driven, or data-adjacent roles.
• Comfortable working at the intersection of data and technology, with the ability to understand code, system design, and collaborate effectively with engineering teams.
• Clear and effective written and verbal communication skills.

‍Good to Have

• Prior experience with B2B data platforms, market intelligence, or private company data.
• Hands-on experience with automation tools or RPA platforms (UiPath, Power Automate, or equivalent).

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Key Competencies

• Problem-First Thinking: Dives deep into problems before proposing solutions, researches root causes, evaluates multiple approaches, and applies rigour to both analysis and execution.
• Structured Communication: Clearly explains complex data and operational challenges to both technical and non-technical stakeholders.
• Automation Mindset: Continuously seeks scalable, automation-led solutions rather than manual workarounds.
• Technical Fluency: Comfortable partnering with engineering teams and understanding technical systems, constraints, and trade-offs.
• Ownership and Execution: Owns problems end-to-end and drives them to resolution with minimal oversight.