Head - Product Engineering

1. Product Strategy & Portfolio Governance
. Define the multi-year product vision and roadmap for core retail domains (e.g., catalog, search, personalization,
merchandising, checkout, and internal tooling).
. Own portfolio prioritization and investment decisions based on business impact, customer outcomes, and ROI.
. Set and manage OKRs for product lines ensure value realization through disciplined delivery and benefit tracking.
. Establish product governance (standards, stage gates, decision rights) and align initiatives with corporate strategy.
. Lead build-vs-buy analyses, vendor selection, and commercial negotiations for platforms and strategic partners.
. Provide executive-level reporting on product performance, adoption, risks, and strategic trade-offs.

2. Engineering & Delivery Excellence
. Oversee end-to-end delivery across product, engineering, design, and data teams, ensuring timely and cost-effective
outcomes.
. Set and enforce architecture, security, and quality standards for scalable and reliable platforms.
. Drive DevOps, CI/CD, and automation practices to improve release cadence and system uptime.
. Implement telemetry and observability to monitor product health and optimize performance.

3. AI, Data & Platform Innovation
. Lead AI-driven product innovation (e.g., visual search, vector search relevance, personalization, dynamic routing).
. Establish experimentation-at-scale (A/B testing, multivariate tests), ensuring statistically sound decision-making.
. Build and govern data pipelines and MLOps practices (model lifecycle, monitoring, drift, retraining, and ethics).
. Integrate retail data sources (catalog, behavioral, transactional, supply chain) to power intelligent features.
. Advance platform capabilities (search, recommendations, pricing, promotions) using modern data and AI stacks.
. Ensure cost-efficient infrastructure and performance tuning (e.g., query optimization, caching, autoscaling).
. Translate customer feedback and market insights into AI-enabled feature roadmaps with measurable impact.
Apparel Group
Corporate Innovation and Transformation
Head- Product Engineering
Full-time
Support Function
Support Function
Head Office
Chief Transformation Officer

4. Stakeholder Leadership
. Align cross-functional leaders on product priorities and transformation outcomes.
. Drive change management and adoption plans for enterprise rollouts.
. Build and mentor high-performing teams, fostering accountability and continuous learning.
. Manage budgets, resource planning, and vendor ecosystems to optimize delivery capacity.
. Represent Product Engineering at senior leadership forums and influence strategic direction through
data-backed insights.

Qualifications & Skills

. Master's degree in Business Administration, Engineering, Computer Science, or a related field (preferred) . Minimum 12-15 years of experience in product management, engineering leadership, and digital transformation . Proven track record of leading large-scale product engineering initiatives in retail or e-commerce environments . Strong expertise in product strategy, portfolio governance, and technology integration . Deep understanding of AI-driven solutions, data platforms, and modern architecture principles . Experience in implementing DevOps, CI/CD, and scalable engineering practices . Proficiency in experimentation frameworks, A/B testing, and data-driven decision-making . Exceptional leadership and stakeholder management skills with the ability to influence at executive level . Strong financial acumen for managing budgets, ROI analysis, and cost optimization . Excellent communication, negotiation, and presentation skills for cross-functional alignment . Ability to build and mentor high-performing teams and foster a culture of innovation and accountability . Certifications such as PMP, Agile/Scrum, or relevant technology credentials are an advantage