Product Manager – Data & AI

Full Description

Product Manager – Data & AI

Company: Maqsood Labs

Location: Lahore, Pakistan (Onsite, Full-Time)

Reporting to:Head of Product / Data & AI Lead

Team: Data Engineers, Analytics Engineers, Data Scientists, BI Analysts

Industry: Fashion, E-commerce, Subscription, AI-enabled Styling

Role Overview

Maqsood Labs is seeking a Product Manager – Data & AI to own and drive the delivery of data and AI products that power customer experience, operational decision-making, and business growth.

This role sits at the intersection of business strategy, data platforms, analytics, and applied AI.

You will act as the product owner for the Data & AI squad, translating business needs into well-defined data initiatives, prioritizing the backlog, and ensuring high-quality delivery across dashboards, pipelines, analytics, and AI-driven capabilities such as recommendations and decision support tools.

This is a hands-on product role requiring strong collaboration with engineering and analytics teams, confidence working with data concepts, and the ability to operate effectively in a fast-moving, cross-functional environment.

Key Responsibilities:

Product Ownership & Strategy

• Act as the Product Manager for the Data & AI domain, representing business needs and ensuring alignment with Maqsood Labs' commercial goals and data/AI strategy.

• Translate company objectives into a clear data product vision and roadmap, balancing short-term delivery with long-term platform scalability.

• Partner with business stakeholders (Product, Engineering, Commercial, Marketing, Operations, Styling) to identify opportunities where data and AI can deliver measurable value.

Backlog & Delivery Management

• Own and manage the Data & AI backlog, ensuring user stories are clearly defined with strong acceptance criteria and articulated business value.

• Prioritize work based on impact, dependencies, technical constraints, and business urgency.

• Work closely with data engineers, analytics engineers, and data scientists to deliver:

• Data pipelines and models

• BI dashboards and reporting solutions

• Recommendation systems and decision-support tools

• Experimentation and analytics frameworks

• Share Scrum Master responsibilities, including sprint planning and refinement, stand-ups, reviews, retrospectives, showcases, and release coordination.

Stakeholder Management & Communication

• Act as the primary point of contact for data product delivery, ensuring transparency on scope, timelines, dependencies, and risks.

• Clearly communicate data product objectives, trade-offs, and progress to both technical and non-technical stakeholders.

• Align delivery expectations across teams operating in different functions.

• Data Quality, Governance & Adoption*

• Support the implementation and evolution of data governance, data quality standards, and metadata management practices.

• Ensure delivered data products are trusted, usable, and well-documented.

• Define and track adoption and performance metrics for data and AI products, driving continuous improvement and iteration based on usage and outcomes.

What You’ll Bring

Experience & Background

• 3+ years’ experience as a Product Manager in a data, analytics, or technology-focused environment.

• Demonstrated experience working closely with data engineering, analytics, or AI teams.

• Exposure to e-commerce, subscription businesses, marketplaces, or large-scale enterprise platforms is highly advantageous.

Data & Technical Understanding

• Strong conceptual understanding of:

• Data pipelines and ETL/ELT processes

• Data warehousing and modeling

• Analytics, BI, and reporting

• Data governance and quality principles

• Familiarity with tools and technologies such as:

• SQL

• Snowflake (or equivalent cloud data warehouses)

• Tableau, Power BI, Looker, or similar BI platforms

• Comfortable working with technical teams without needing to be hands-on coding.

Product & Delivery Skills

• Strong understanding of Agile product delivery, including backlog management, prioritization, and iterative delivery.

• Ability to break down complex data initiatives into clear, deliverable increments.

• Commercially minded, with a focus on measurable outcomes rather than outputs.

Communication & Ways of Working

• Excellent communication and stakeholder engagement skills across business and technical audiences.

• Confident operating in a cross-functional, matrixed environment.

• Highly organized, proactive, and comfortable managing ambiguity.

Working Model

• Full-time onsite role based in Lahore, Pakistan.