Head of Data (Founding Seat)

Job Description

Title: Head of Data (Founding Seat)

Company Name: AFOUR Limited

Vacancy: 01

Age: 25 to 45 years

Job Location: Dhaka (Nikunja)

Salary: Negotiable

Experience:

• 5 to 8 years

• Bachelor of Science (BSc) in Computer Science

• 5 to 8 years

• Age 25 to 45 years

Data Modeling Fluency: Expert understanding of customer, order, and behavioural data models, with the ability to cleanly differentiate between observed results, inferences, and projections.User-Centric Design: Ability to design dashboards tailored strictly for the cross-functional business users who rely on them daily.Autonomous Operator: Highly comfortable operating as the entire data function at the start, including setting up pipelines manually before scaling a team.Preferred (Not Required):Experience handling WhatsApp Business API data or conversational-commerce analytics.Familiarity with retention/lifecycle tooling (Klaviyo or equivalent) in a Cash-on-Delivery (COD) or emerging market context.Prior work in beauty, fashion, or another consultative-purchase consumer category.Experience Requirements· At least 5 to 8 year(s) of experience in data engineering, data architecture, or business intelligence.·         Proven Track Record: Must have experience building a data function from a handful of disconnected tools rather than simply inheriting a mature corporate data stack. Platform Experience: Hands-on experience working with Shopify or a comparable e-commerce platform, including a deep understanding of how custom themes and app stacks impact tracking and event data. Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Information Systems, or a highly analytical discipline. (Equivalent deep practical infrastructure-building experience will be valued over specific degrees).

Omnichannel Data Architecture: Design and maintain unified data architecture across Shopify, WhatsApp concierge, warehouse/inventory, and finance systems to ensure a single system of record.

Launch Foundation Setup: Define and structure customer, consent, order, SKU, margin, return, and behavioral fields with clear ownership, purposes, and retention rules.

Retention & Lifecycle Analytics: Build rule-based (and later predictive) analytics models covering product depletion windows, reorder forecasting, and customer cohort behavior.

Self-Service Dashboards: Develop functional KPIs and dashboards for e-commerce, WhatsApp concierge, warehouse, and finance leads so teams can independently act on their numbers.

Data Governance & Privacy: Implement robust access controls, consent tracking, and suppression rules for sensitive customer details (e.g., returns, skin reactions, and adverse experiences).