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Leadership Role

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Bengaluru, Karnataka, India Tracxn Full time US$ 1,20,000 - US$ 2,00,000 per year

Disclaimer:

Please be aware of fraudulent job postings and individuals impersonating Tracxn representatives. Tracxn conducts all hiring through official channels only our careers page and verified job portals. We operate from a single official office location and do not request personal information or payments at any stage of the hiring process.

If you come across any suspicious communication claiming to be from Tracxn, we recommend reporting it to us immediately.

Are you passionate about driving strategic business decisions, optimising operations, and leveraging automation to scale efficiency? Do you thrive in high-growth, data-driven environments where innovation and process excellence are key? If so, Tracxn is looking for a dynamic leader to join our team

Location: Bangalore, India

Job Type: Full-time Work From Office

About Tracxn

Tracxn is a leading market intelligence platform, tracking the worlds most innovative startups and private companies. Our insights help top VCs, PE firms, and Fortune 500 companies make data-backed decisions. As we continue to expand, we are looking for a highly motivated AVP Business Strategy & Operations to drive operational excellence within our Data Team.

Your Role & Impact

As AVP Business Strategy and Operations (DATA) at Tracxn, you will play a critical role in driving data-led business strategies, optimizing large-scale data operations, and accelerating automation to enhance operational efficiency. This role requires a deep understanding of data management, workflow automation, and process excellence, coupled with strong business acumen to drive scalable and data-driven growth. You will collaborate with cross-functional teams to streamline data operations, introduce automation-led efficiencies, and optimize data processing models to support Tracxns business objectives.

Business Strategy & Process Optimization

  • Design and implement scalable business strategies to enhance operational efficiency and optimize large-scale data operations.
  • Identify key process bottlenecks and develop strategies to reduce manual effort, ensuring faster and more accurate data processing.
  • Streamline end-to-end data workflows, ensuring data quality, efficiency, and consistency across all operations.
  • Work closely with leadership to align operational processes with business objectives, driving improved outcomes.
  • Continuously monitor and optimize data processing workflows to support rapid scalability and business growth.

Data Operations & Automation Strategy

  • Lead large-scale data operations by designing automation frameworks to reduce human intervention and improve data processing efficiency.
  • Build and optimize workflows that combine LLMs, APIs, scraping, and human supervision to extract, clean, enrich, and validate private company data.
  • Collaborate with Tech, Product, and Data Science teams to introduce AI/ML-driven data collection, enrichment, and processing solutions.
  • Implement workflow automation to streamline repetitive tasks and minimize manual dependencies.
  • Enhance data processing accuracy and speed by integrating robust automation solutions into data operations.
  • Ensure the development of scalable data operations models that can support business growth while minimizing operational costs.

Data-Driven Decision Making & Insights

  • Develop and implement real-time operational performance dashboards to monitor key data metrics, productivity, and output efficiency.
  • Provide leadership with actionable insights for decision-making.
  • Monitor data processing trends, workflow performance, and operational efficiency to identify areas of improvement.
  • Collaborate with business, product, and technology teams to turn data insights into operational improvements that drive scalability.
  • Ensure that measurable KPIs back all data operations and workflows to track effectiveness and continuous improvement.

Automation & Technology Integration

  • Partner with Tech and Product teams to drive AI-led automation solutions for data collection, processing, and enrichment.
  • Optimize data pipelines by integrating data ingestion, processing, and delivery automation using scalable technologies.
  • Identify and implement advanced workflow automation tools to reduce operational friction and boost productivity.
  • Ensure seamless integration of data collection, enrichment, and delivery pipelines to support Tracxns data intelligence platform.
  • Continuously evaluate and implement new-age technologies to optimize data operations and minimize turnaround times.

Leadership & Cross-Functional Collaboration

  • Lead and mentor a high-performance team focused on business strategy, data operations, and automation excellence.
  • Drive close collaboration with Engineering, Product, and Sales teams to ensure seamless data flow and operational efficiency.
  • Foster a culture of continuous improvement, operational excellence, and automation-first approach within the data operations team.
  • Serve as a strategic advisor to the leadership team on optimizing data operations and driving business scalability.
  • Promote cross-functional alignment to drive data-led business growth, process efficiency, and cost reduction.

What Success Looks Like in This Role

  • Achieving operational scalability by significantly reducing manual interventions through automation.
  • Enhancing data processing accuracy, speed, and output quality to support business growth.
  • Driving measurable improvements in data operations efficiency, process standardisation, and turnaround times.
  • Collaborating with Tech, Product, and Business teams to deliver data-driven business insights that drive strategic growth.
  • Establishing Tracxns data operations as a benchmark for efficiency, scalability, and process automation.

What Were Looking For

  • Up to 10 years of experience in business strategy, operations, or process automation.
  • Strong understanding of how LLMs, NLP, scraping, and ML models can be applied to automate data workflows.
  • Ability to drive scalable process improvements in a data-driven environment.
  • Excellent problem-solving, analytical, and stakeholder management skills.
  • Familiarity with data tools, automation platforms, and analytics dashboards (not mandatory but a plus).

Why Join Tracxn?

  • Lead strategic business initiatives in a high-impact, data-first organization.
  • Drive automation and operational transformation at scale.
  • Be part of a fast-growing, tech-driven company.
  • Competitive compensation & fast career growth opportunities.