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Director, Research Excellence

eBay

Director, Research Excellence

eBay

Bengaluru, India

·

On-site

·

Full-time

·

5d ago

At e Bay, 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.

Director, Research Excellence – Global Consumer Insights

About the team and the role:

Global Consumer Insights (GCI) sits within e Bay’s Growth organization and exists to ignite growth by championing the voice of the consumer in decision-making. Research Operations is the engine that powers this mission—ensuring our insights are delivered with speed, rigor, scale, and trust across the company.

As Director, Research Operations, you will lead the team responsible for the core systems, tools, vendors, and processes that enable high-quality consumer data and insights at scale. This is a highly strategic and operational leadership role, focused on building a future-ready insights infrastructure with AI at its core. You will partner closely with GCI leaders, Analytics, Product, Tech, Legal, Privacy, Procurement, and external vendors to modernize how research gets done—automating where possible, elevating quality, and freeing teams to focus on insight and impact. This role reports to the VP of Global Consumer Insights.

What you will accomplish:

  • Own and evolve GCI’s research operations engine, enabling high-quality internal and external research through scalable tools, processes, governance, and vendor partnerships that support confident, consumer-centric decision-making.

  • Lead AI-enabled transformation of research operations, identifying and implementing automation across survey design, data processing, analysis, and knowledge management to materially improve speed, cost-efficiency, and insight quality.

  • Set the strategy and operating model for research platforms and systems, including Qualtrics and downstream integrations, ensuring seamless data flows, strong data quality, and fit-for-purpose tooling across teams.

  • Ensure research operations actively support brand health, customer engagement, and great end-to-end experiences by enabling trusted measurement, experience tracking, and feedback systems that inform how e Bay shows up for buyers, sellers, and internal partners.

  • Oversee vendor strategy and spend, including selection, onboarding, performance management, and business reviews, in close partnership with Procurement—optimizing investment while maintaining methodological excellence.

  • Build and develop a high-performing Research Operations team, fostering a culture of continuous improvement, experimentation, and learning as the insights and AI landscape evolves.

What you will bring:

  • Extensive experience leading research operations, insights platforms, or data-enabled operations, with ownership of systems, vendors, budgets, and governance in a complex, global organization.

  • Demonstrated ability to apply AI and automation to research or data workflows, translating emerging capabilities into practical, scalable operational solutions.

  • Deep expertise in survey and research operations, including survey design methodology and execution—covering research standards and approaches, sampling strategy, questionnaire design and writing, and end-to-end delivery across qualitative and quantitative methods.

  • Proven leadership in vendor management and procurement partnership, including gap analysis, spend optimization, and performance-driven supplier relationships.

  • Strong cross-functional leadership skills and recognized thought leadership, with the ability to influence across Insights, Analytics, Product, Technology, Legal, Privacy, and Procurement while advancing best practices in research operations.

  • People leadership experience with a track record of building, coaching, and scaling teams, combined with a growth mindset and comfort leading change in fast-evolving environments.

Additional Details

e Bay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about e Bay's commitment to ensuring digital accessibility for people with disabilities.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.

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About eBay

eBay

eBay

Public

Buy, sell, and discover.

10,001+

Employees

San Jose

Headquarters

Reviews

3.8

5 reviews

Work Life Balance

4.2

Compensation

2.5

Culture

4.0

Career

2.8

Management

3.5

Pros

Good work-life balance

Great culture and environment

Nice colleagues and supportive people

Cons

Limited opportunities for growth

Old technology and systems

Call quotas and difficult customers

Salary Ranges

2,741 data points

Mid/L4

Mid/L4 · Business Process Analyst 2

3 reports

$111,775

total / year

Base

$97,196

Stock

-

Bonus

-

$111,775

$111,775

Interview Experience

4 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview Process

1

Application Review

2

Online Assessment (CodeSignal)

3

Technical Phone Screen

4

Technical Interview Rounds

5

Final Review

Common Questions

Coding/Algorithm

Technical Knowledge

Problem Solving

Data Structures