Head of Data(Data Engineering + Machine Learning)

About Easyship:

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.

Who We’re Looking For:

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.

What you additionally need to know:

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.

What would be you be responsible for:

• 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