Product Manager

Role & responsibilities

Product Strategy & Vision

• Define the vision, roadmap, and objectives for clients post purchase services, aligning with the companys post-purchase and data strategy goals.
• Drive along with engineering teams to support a range of features across order tracking, returns, exchanges, customer communications, and loyalty engagement, leveraging user transaction data.
• Translate clients digital transformation goals into actionable technical product strategies that enhance customer satisfaction, streamline processes, and maximize data utility.

Services Product Development

• Collaborate with engineering teams to design and implement data pipelines, storage, and retrieval systems that ensure high data integrity, security, and accessibility.
• Lead data architecture discussions, focusing on enabling a scalable, performant backend that supports real-time insights and data-driven decision-making.
• Define and prioritize product requirements, balancing business and technical considerations to ensure smooth product delivery and scalability.

Stakeholder Engagement

• Work closely with product, analytics, and engineering teams across clients global tech hubs to ensure the data hub meets diverse requirements for post-purchase use cases.
• Serve as a bridge between technical teams and non-technical stakeholders, clearly articulating product capabilities, limitations, and opportunities.

Data Enablement & Analytics

• Oversee the data hubs role in supporting predictive analytics, enabling client teams to analyze post-purchase trends, customer behaviours, and feedback to inform strategic decisions.
• Collaborate with data analytics teams to identify opportunities for data enrichment and advanced analytics, integrating AI and machine learning as appropriate.

Compliance, Privacy, and Security

• Ensure that the data hub complies with all regulatory requirements, including data privacy, data security, and data residency mandates in multiple regions.
• Work with security and legal teams to ensure ongoing compliance with industry standards and regulations related to handling customer data.

Performance & Continuous Improvement

• Establish key performance indicators (KPIs) for the data hubs success, such as uptime, response time, data latency, and usage statistics.
• Monitor performance and drive continuous improvement, working to optimize data accessibility, reliability, and speed to enhance post-purchase experiences.

Preferred candidate profile

• 5 to 8 years of experience in product management, preferably with a focus on data products, platforms, or backend services for retail, ecommerce, and specifically post-purchase applications.

• Proficiency in working with API design, microservices architecture, and cloud-based platforms (e.g., AWS, Azure, Google Cloud).

• Basic understanding of machine learning concepts and their application in enhancing customer experience through data.

• Exceptional communication skills, with the ability to translate complex technical details for non-technical stakeholders.

• Strong problem-solving skills with a proactive, solution-oriented mindset.

• Proven ability to work cross-functionally and lead through influence.