Associate Process Manager

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors.

Process Manager Roles and responsibilities:

Key Responsibilities

• Design and deliver analytics models aligned with strategic objectives.
• Partner with pricing, product, and assortment teams to deliver actionable ML-driven insights
• Ensure robust and well-documented model lifecycle management
• Present technical results in a clear and actionable manner to business stakeholders

Stakeholder Engagement

• Engage cross-functional teams (merchandising, pricing, category management, leadership) to understand business needs and drive analytics projects
• Communicate complex analytical concepts in an accessible way to non-technical audiences

Business Impact & ROI

• Drive improvements in revenue, margin, competitive positioning, and operational efficiency through data-driven solutions
• Develop KPIs to monitor model and business impact, ensuring sustainable value creation

Advanced Statistical & Machine Learning Expertise

• Strong foundation in regression analysis, time-series forecasting, hypothesis testing, A/B testing, and experimental design
• Hands-on experience building and deploying predictive models for pricing, assortment, sales forecasting, competitive intelligence, and product substitution mapping
• Applied expertise in ML techniques: classification, clustering, regression, recommendation engines, and feature engineering

Domain-Specific Applications

• Design data science solutions for market intelligence, assortment management, competitive benchmarking, pricing optimization, and digital shelf diagnostics
• Translate business problems into analytical solutions with measurable business outcomes

Scalable Data Pipelines & Model Deployment

• Develop scalable pipelines and workflows for model building and performance monitoring
• Implement robust data validation, model explainability, and documentation practices

Technical and Programming Skills:

• Senior Data Scientist with 8+ years of experience.
• Master's degree (preferred) or Bachelor's degree in Statistics, Computer Science, Data Science, Mathematics, Engineering, or related quantitative field
• Additional certifications in Data Science, Machine Learning, or related technologies (AWS/Azure ML, Coursera, edX, etc.) will be an advantage
• Strong proficiency in Python (Pandas, scikit-learn, NumPy, SQLAlchemy) and SQL.
• Working knowledge of visualization tools: Power BI, Tableau
• Exposure to cloud computing environments (Azure / AWS / GCP)