Requirements

Expected technologies

Microsoft Power BI

Optional technologies

Google Cloud Platform

Tableau

Looker

Operating system

Linux

Our requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or a related field.
• Minimum 10 years of hands-on experience managing retail data products, data pipelines, and analytics platforms, preferably in a consulting or multi-client environment.
• Extensive expertise in retail business processes, including POS systems, inventory management, store operations, promotions, omni-channel sales, and workforce management.
• Demonstrated success in launching and managing complex data products at scale.
• Good understanding of data engineering concepts, data governance, and modern data architectures (e.g., cloud data platforms, streaming, batch processing).
• Exceptional stakeholder management, communication, and presentation skills.
• Proven ability to gather and document detailed business and technical requirements.
• Expertise with analytics, BI, and visualization tools (e.g., Tableau, Looker) is a plus.
• Experience working in agile and cross-functional teams.
• Consulting background with the ability to quickly understand client needs and deliver value-driven solutions.
• Demonstrated ability to work effectively in a global environment, collaborating with stakeholders in the US, Asia, and Europe.

Optional

• Experience with Retail Point of Sales reporting and retail operations.
• Familiarity with cloud data platforms (GCP) and data pipeline orchestration tools.
• Strong analytical and problem-solving abilities.
• Ability to influence and drive change across diverse stakeholder groups.

Your responsibilities

• Shape and execute the data product vision and roadmap for all retail data domains, including but not limited to POS sales, inventory, traffic, RFID, promotions, workforce management, omni-channel sales (buy online, return in store), and store operations.
• Collaborate closely with data engineers, data scientists, business analysts, and cross-functional retail leaders to translate business needs into scalable, high-impact data solutions.
• Act as the primary point of contact for retail data product initiatives, providing thought leadership and subject matter expertise in all areas of data management, analytics, and operational reporting.
• Lead requirements gathering, prioritization, and documentation by engaging with stakeholders at all levels of the retail organization.
• Define and track key performance indicators (KPIs) and metrics to measure the success and adoption of data products.
• Drive process improvement initiatives to elevate data governance, security, and compliance standards within the retail data domain.
• Deliver presentations, training, and documentation to maximize user adoption and business impact.
• Stay abreast of emerging retail technologies, data trends, and industry best practices to continually inform product strategy.