Head of Data(Data Engineering + Machine Learning)

Easyship is a leading global shipping software and API platform trusted by 100,000+ eCommerce merchants to compare couriers, automate fulfilment, and simplify cross-border shipping, taxes and duties. A top-rated Shopify Certified Technology Provider, eBay preferred fulfilment partner, and Amazon preferred multi-channel integrator, Easyship is the G2 category leader (April 2026), offering 550+ courier services worldwide. We believe in accelerating borderless commerce through innovative solutions, and we're proud that brands of all sizes from small business to enterprise trust Easyship for all their shipping needs.

We are looking for a Head of Data to join our leadership team and define the future of data at Easyship, from strategy and infrastructure to AI innovation and business enablement. This role is pivotal in transforming how we use data to make decisions, innovate, and scale. You'll lead the charge in unlocking the value of data across the business, driving operational efficiency, product intelligence, and long-term strategic advantage.

This is a full-time, onsite role based in our Bengaluru (MG Road) office. The role follows UK collaboration hours (11:00AM–8:00PM IST) to support seamless cross-regional execution.

• Owning and defining our company-wide Data & AI strategy, ensuring it's tightly aligned with Easyship’s business goals.
• Leading and scaling a high-performing data team across analytics, data engineering, and (eventually) data science.
• Championing AI and machine learning initiatives, supporting the company’s evolution toward a smarter, more automated product.
• Collaborating with leaders across Product, Engineering, Marketing, and Operations to ensure data is accessible, actionable, and impactful.
• Guiding architectural decisions, including analytics platforms, infrastructure, and tooling — even if not hands-on day-to-day.
• Ensuring data quality, governance, and compliance, fostering trust in the data we use to make critical decisions.
• Prioritising based on ROI, helping the company focus on initiatives that move the needle.
• Enabling self-serve analytics, giving stakeholders the tools and knowledge to answer their own questions.
• Driving a culture of experimentation, insight, and continuous improvement.

• You have 7+ years of experience as a Head of Data or senior data leadership role.
• You are a strategic thinker who understands how data drives business growth and operational excellence.
• You have excellent organizational, verbal, and written communication skills, capable of aligning leadership and technical teams around a shared vision.
• You have a deep understanding of AI/ML concepts and application, with a proven ability to deliver PoCs and pilots.
• You have experience scaling and managing data teams, including hiring, mentorship, and team development.
• You are familiar with modern data architecture and pipelines; bonus points if you've worked with GCP and tools like BigQuery, Looker, or DBT.
• You possess resourcefulness, resilience, self-motivation, and the ability to thrive in an entrepreneurial, team-based environment, balancing long-term vision with short-term delivery needs.
• You have a "Data-First" approach and strong analytical skills, using ROI assessment methodologies to prioritize initiatives.
• You are skilled in influencing and collaborating with distributed global teams, willing to roll up your sleeves when needed and unblock teams to move quickly.

If you’re excited about this role but don’t meet every requirement, we’d still love to hear from you.

What we bring to the table as an employer:

• Generous remuneration and stock units
• Comprehensive health coverage 
• We reimburse gym and wellness expenses so you can invest in your health
• Zomato digital meal credits and pantry full of wholesome snacks to keep you fueled through the workday
• The freedom to‘Work from Anywhere’ for 4 weeks in a year
• Generous vacation policy, plus duvet days and mental health days to truly recharge

How we value inclusion in our recruitment practices:

Easyship is an equal opportunity employer. We make all employment decisions—recruiting, hiring, pay, benefits, training, promotion, leave, and separation—based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, veteran or military status, citizenship, or any other characteristic protected by law.

How did the story of Easyship start? Find out below.