Data Manager

  • Full Time
Job expired!

About Us

Love, Bonito is a digital-first firm dedicated to empowering everyday Asian women and inspiring self-confidence. We are the top direct-to-consumer women's clothing brand, headquartered in Singapore, with a presence in multiple channels across Indonesia and Malaysia. We have a retail franchise in Cambodia and are quickly expanding into international markets like Japan, Hong Kong SAR China, and the United States of America.

Founded in 2010, we are a proudly female-founded company with over 70% female representation across our organization, leadership, and STEM roles (#girlpower!). We raised a US$50M Series C round in 2021 and are on the brink of greatness, striving to become the most thoughtful global brand for the Asian female consumer, primarily in terms of our products, community, and experiences.

There is much work to be done considering our ambitious plans. Hence, we’re seeking individuals who are extremely passionate about making a difference, who want to be part of an active team, and who appreciate a workplace without corporate nonsense (yes, you read that correctly!).

The role

In this role, you will have a front-row seat to significantly impact women worldwide through the convergence of fashion and data, thereby contributing to Love, Bonito's profitable growth strategy.

Your responsibilities will include managing the data organization, accelerating the design and implementation of data-based solutions, constantly generating actionable insights, and launching machine learning models that drive substantial business impact.

You should have / be

  • A Love, Bonito Culture Fit
    • Understanding of the Love, Bonito brand and unique proposition
    • A genuine curiosity to understand how things work and how to improve them
    • An entrepreneurial, proactive, roll-up-your-sleeves attitude
    • Enjoy learning new things and pick them up quickly
  • A proven result-driven obsession with data, supported by:
    • Business-Centric Approach. You prioritize a deep understanding of the business context before delving into data analysis. Your solutions and insights are aligned with business objectives.
    • Relationship Management. You collaborate effectively with cross-functional teams and are a champion for data. You can communicate technical topics using simplified language for clear understanding.
    • Technical Background. You have a proven track record of effectively exploring and visualizing data using tools like Python, SQL, Tableau, or other visualization tools. Also, you have experience applying statistics and machine learning to drive significant business impact.

Main responsibilities

As Love, Bonito’s Data Manager, you will lead a lean team of over 8 data professionals, partnering with cross-functional stakeholders to drive growth and efficiency across our business.

People Management

  • Lead a diverse data team of Data Engineers, Analytics Engineers, Data Analysts, and Data Scientists based in various geographical locations.
  • Review the work of less experienced team members, ensuring quality standards are met, and final project outcomes are not compromised.
  • Mentor data leads from different fields to keep their quarterly roadmaps updated and aligned with the company's goals.

Project Management

  • Work with functional teams to identify, plan, and implement data opportunities with high ROI, including but not limited to ML opportunities.
  • Manage about 7-8 data-related projects per quarter, delegating planning and execution to team members, while ensuring proper planning, high-quality execution, and time-bound delivery.
  • Act both as a hands-on project manager and a senior leader, balancing weekly and quarterly prioritization exercises with the entire data team, while crafting a solid annual roadmap supporting company strategy and profitable growth ambitions.

Data Strategy and Vision

  • Work closely with C-level executives to develop and execute the company's data strategy that transforms data efforts and data products into a strategic asset, supporting informed decisions aligning with company's goals.
  • Continually find innovative and tech-savvy ways to deliver most projects, while maintaining expected SLAs, with limited resources.
  • Be ultimately responsible for the Data & Analytics roadmap, departmental budget, and resource allocation.

Requirements

Must-have

  • 6+ years of overall experience in data roles, with at least 4 years as an Individual Contributor.
  • 2+ years of experience managing diverse data expert teams.
  • 4+ years of experience in a digital company (marketplace, e-commerce, App).
  • Proficiency in SQL and Python in at least one of the three data domains: data engineering, and/or data analytics, and/or data science.
  • Experience in managing end-to-end data projects.
  • Experience with the latest data and analytics technologies:
    • Data visualization tools like Tableau, Metabase, QlikSense.
    • Machine learning experimentation frameworks like MLFlow.
    • Big data frameworks and tools like Spark, Hadoop, Databricks, Kubernetes.
  • Familiarity with AB testing, both frameworks, and tools.
  • M.Sc. or B.Sc. degree in a quantitative or STEM field.

Good-to-have

  • Proven track record as a senior data scientist, deploying ready-to-use ML models for Supply Chain and Operations or online personalization.
  • Experience with agile methodologies, applying them or even implementing them in data teams.
  • Experience in e-commerce, preferably in the fashion industry.
  • Experience working on a digital product with an App.

Benefits

1. Flexible Work Arrangement

  • Work from anywhere!
  • Hybrid work and flexible hours - present during our core working hours

2. Staff Wellness

  • Comprehensive corporate insurance (Fully covered panels clinics visits, dental coverage, maternity reimbursement, and mental wellness support)
  • Customized coaching services for mental wellness

3. Learning and Career Development

  • Learning and development opportunities (i.e., subscription plans to top resources, personal development fund, etc.)
  • Specific leadership training for those with managerial responsibilities
  • Friday afternoons off for learning

4. #TeamLB perks

  • Generous staff discount on LB products
  • Corporate partnerships with various companies
  • Welcome to #TeamLB swag and store gift cards (Get your LB work outfit on us!)
  • Employee-driven platform for peer-to-peer recognition to honor and celebrate everyday achievements
  • Internal Referral program