Ming Gosier

Founder

As a certified coach by International Coaching Federation, I help high-achieving professionals and leaders break free from burnout, uncertainty, and self-doubt to create clarity, confidence, and a life aligned with purpose. My coaching is designed for those who have achieved success on paper but are ready for deeper fulfillment and impact. I specialize in career coaching, executive and leadership coaching, and life coaching. With extensive corporate leadership experience and advanced coach training, I combine strategic insight with deep empathy to unlock your potential. Whether you’re navigating a career transition, stepping into bigger leadership, or striving for balance, I partner with you to achieve success that’s both meaningful and sustainable.

Senior Manager, PM

I'm now the single threaded owner for Amazon's sponsored ads bulk operations and batched APIs. As a PM-T, I'm responsible for driving product adoption and engagement among Amazon advertisers and agencies. I define product vision, roadmap and manage the team's execution. I influence executive leadership to take bets and invest in new features. I prioritize engineering resources to deliver the features that have the most customer or business upside. Finally, driving success and adoption is predicated on well-crafted customer messaging that aligns with the product promise, so I partner with marketing and business development on outreach and marketing. Supervised Learning and Unsupervised Learning

Analytics Vertical Lead

• Led the creation of Amazon Category Insights automatic reports - first scaled global insights product within the team, and received SVP endorsement. • Lead the healthcare vertical, overseeing vertical-level analytic needs and managing analytics manager. • Interviewed 50+ AMM candidates and coached 5+ new AMMs to grow future leaders at Amazon. • Data Science and Marketing Analytics: segmentation (k-means, hierarchical scaling), market structure, network analysis (Gephi), predictive analytics (linear and logistic regression/decision tree/Naive Bayes algorithm), product optimization (Conjoint/discrete choice model), package optimization (eye-tracking), A/B testing and experimentation design

Senior Analytics and Media Manager

A strategic analytics manager owning analytics and insights consultation for a top CPG advertiser at Amazon, guiding C-level executives to uncover Amazon insights and contributing to the 60%+ YoY ad revenue growth. Created unique Amazon learnings scaled across verticals (e.g., Prime time for new customer acquisition) and built multiple analytical frameworks that became repeatable solutions. • Wrote a media insight case study on driving long-tail brand success on Amazon, which was shortlisted for the finalists of the 2018 Festival of Media Global Award. • Built the global technical upskill training program and led the monthly global insights demo program. Supervised Learning, Neural Networks and +1 skill

Strategy Consultant Intern, Chief Analytics Office

The Chief Analytic Office is an elite analytics center of competency focused on enhancing IBM business performance through consulting initiatives to the executive teams. The Chief Analytics Office combines data science and management consulting expertise to conduct advanced analytics with a continuous focus on the overall business strategy.

Senior Manager, Consulting

Senior Research Science Manager

A seasoned marketing research expert designing research solutions to support the entire product innovation process, from market structure and consumer behavior understanding, to idea screening, concept testing, product testing, price optimization, package testing (eye-tracking), and to sales forecasting. • Strategically managed key CPG accounts and grew revenue through creative solutions and high customer retention. • Led all aspects of the research process, from proposal writing, questionnaire design, analytic planning, data analysis, reporting to presentation. Partnered with Statisticians to incorporate mathematical models into research design. Knowledge of research analytics: discrete choice, MaxDiff, conjoint analysis, TURF and Shapley value, double normalization, factor analysis, multivariate analysis, regression analysis, etc. • Supervised project directors to develop their project management and analytic skills.