Senior Specialist, Product Management – Commercial Strategy, Pricing & Go-To-Market

Role Overview

The Senior Specialist will drive data-driven insights to inform pricing, go-to-market effectiveness, and revenue growth initiatives across the OI portfolio—with a strong emphasis on advanced analytics and practical AI-driven decision support as a key differentiator.

What You Will Do

Support front door commercialization strategy by conducting deep analysis across pricing, packaging, and entry point performance; perform pricing and revenue analytics, including price modeling, comparative analysis, and scenario assessments.

Why It Might Be a Fit

Strong analytical mindset with exceptional attention to detail, ability to structure and solve ambiguous, multi-variable problems, and comfort influencing through data, logic, and clarity.

Requirements

• Advanced proficiency in Excel (financial modeling, scenario analysis required)
• Experience working with large and complex commercial datasets
• Experience with BI tools (Tableau, Power BI)
• Ability to synthesize quantitative and qualitative inputs into clear recommendations
• Working knowledge of programmatic analytics or data science tools (e.g., Python, SQL, notebooks, Hadoop or equivalent environments)
• Familiarity with applied AI / machine learning concepts, especially in decision support, recommendation systems, or agent-based approaches
• Bachelor’s degree (Masters preferred) in business, finance, analytics, or equivalent experience
• Proven experience in commercial analytics, pricing strategy, or revenue enablement roles
• Demonstrated experience applying statistical analysis and predictive modelling to support and optimize commercial activities within a product based business
• Strong analytical mindset with exceptional attention to detail
• Ability to structure and solve ambiguous, multi-variable problems
• Comfortable influencing through data, logic, and clarity
• Strong communication skills with the ability to adapt insights for technical and executive audiences
• Experience in payments, financial services, SaaS, or analytics driven businesses preferred
• Strong grounding in quantitative analysis coupled with strategic business thinking
• Experience applying statistical analysis, predictive modeling, or advanced analytics to optimize commercial outcomes
• Demonstrated curiosity and capability to work on higher‐order data science or agentic AI problems, even if not in a pure data scientist role

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Paid time off
• Retirement plan
• Learning budget
• Parental leave
• Wellness programs
• Visa/relocation support
• Remote flexibility
• Stipends
• Bonus/commission
• Paid holidays