Senior Manager, Search Product Analytics

Location: Bengaluru

This job is with eBay, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all.

Role:
Senior Manager, Data Science & Analytics - Search Product Analytics Lead
Overview
We are seeking a  Senior Manager / Lead Data Scientist  to own the  Search Product Analytics  function  this role, you will partner closely with the  Search product and engineering teams , using eBay's vast data ecosystem to uncover insights, influence the Search roadmap, and drive customer-centric innovation across our marketplace.
You will manage a team of data scientists, champion experimentation excellence, and develop analytics strategy for one of eBay's most critical user experiences - Search. This role combines  hands-on analytics depth ,  strategic impact , and  leadership responsibility .

Key Responsibilities
1. Strategic Analytics Leadership
Serve as the  analytics leader  for eBay's Search product, setting the vision for data-driven decision-making and influencing long-term strategy.
Partner with Product, Engineering, and Business collaborators to  define success metrics , establish analytical frameworks, and guide prioritization.
Lead the end-to-end analytics roadmap for Search - from opportunity sizing and hypothesis generation to measurement, experimentation, and impact evaluation.
2. Experimentation & Measurement
Develop, implement, and interpret  A/B tests and causal inference studies  to evaluate new Search experiences, ranking models, and personalization algorithms.
Translate complex analytical outcomes into  clear, actionable insights  for non-technical audiences.
Promote standard processes in experimental design, metric definition, and statistical rigor across teams.
3. Team Leadership & Development
Lead, mentor, and grow a high-performing analytics team; develop career paths and champion a culture of curiosity, rigor, and impact.
Partner with recruiting and analytics leadership to  attract and retain top analytical talent .
Provide coaching and technical mentorship to ensure consistent analytic quality and scalability across projects.
4. Cross-Functional Collaboration
Act as the  analytics link between  Search, Personalization, Ads, and Buyer Experience teams to ensure well-rounded understanding of user intent and behavior.
Drive alignment across product areas, ensuring consistent measurement standards and shared findings.
Advocate for data democratization by building intuitive reporting, self-serve tools, and metric documentation.
5. Operational & Execution Excellence
Evaluate feature and experiment performance, ensuring decisions are rooted in robust data analysis.
Enable rapid insight generation through automation and scalable experimentation pipelines.
Continuously improve analytical workflows and frameworks for speed and reliability.
Required Skills & Experience
8+ years  of experience in product analytics, data science, or experimentation roles;  2+ years leading analytics teams .
Strong command of  A/B testing design , causal inference, and experimentation measurement.
Deep expertise in  SQL, Python/R , and data visualization tools (e.g., Tableau).
Strong foundation in  statistics ,  machine learning fundamentals , and  data-driven hypothesis testing .
Proven record of delivering insights that drive  measurable business and product impact .
Able to translate data into actionable narratives and influence senior executives.
Known to work in  highly matrixed, cross-functional environments .

Preferred Qualifications
Advanced degree or equivalent experience in a quantitative field (Statistics, Economics, Computer Science, Engineering, Mathematics, etc.).
Experience in  Search, Ranking, or Personalization analytics  within e-commerce or digital marketplaces.
Familiarity with  big data platforms ,  experimentation frameworks , and  LLM/AI tools
Experience building or influencing  data and metric infrastructure  for large-scale experimentation systems.
Strong presentation and partner management skills, with ability to  influence at VP+ levels .
What You'll Gain
Opportunity to shape the  future of eBay's Search experience , a core pillar of buyer engagement.
High visibility and ownership over analytics strategy for one of eBay's most data-rich domains.
An environment that…