Strategic Pricing Optimization Lead
5 days ago
Tiger Analytics Overview
Tiger Analytics is a pioneering force in leveraging AI and analytics to tackle complex problems faced by organizations globally. With a strong presence in multiple US cities, the UK, India, and Singapore, and a substantial remote global workforce, we develop bespoke solutions powered by data and technology for several Fortune 100 companies.
We are market leaders in AI and analytics consulting in the CPG & retail industry, with over 40% of our revenues coming from this sector. This is our fastest-growing sector, and we are expanding our talent in the space.
We are seeking an experienced Strategic Pricing Optimization Lead to drive the development and execution of product strategies that enhance pricing and promotion initiatives.
Key Responsibilities:
- Lead the latest applications of data science to solve business problems in the optimization space for a CPG client.
- Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
- Pricing Strategy Development: Create, manage, and communicate a clear strategic vision for the pricing and promotion optimization product, aligned with business goals and market trends.
- Quarterly Planning: Design and implement quarterly plans, ensuring alignment with product goals, KPIs, and timelines.
- Team Leadership: Lead and mentor a cross-functional team of 5-6 members, fostering a collaborative and high-performance environment.
- Promotion Optimization: Define and implement an optimization framework to optimize promotional Strategies.
- Stakeholder Collaboration: Work closely with internal teams, including Marketing, Sales, Engineering, and Analytics, to gather requirements and translate them into actionable plans.
- Market Analysis: Conduct ongoing analysis of market trends and competitor strategies to identify opportunities and gaps.
- Track and analyze key metrics to ensure product success, and identify areas for improvement to drive product growth.
- Collaborate, coach, and learn with a growing team of experienced Data Scientists.
- Stay connected with external sources of ideas through conferences and community engagements.
- Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.
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