Dir Strategic Optimization

About the role

The Director, Strategic Optimization will lead the Cross-Channel Optimization strategy for Revenue Management (RM), collaborate with the commercial team to enhance the approach, centralize RM as a core pillar within the organization's strategy, influence decisions, quantify revenue and EBITDA impact, assess scope and resource needs, and pursue initiatives.

Responsibilities

• Oversee the development and execution of strategies to manage and grow the company’s brand portfolio, including analyzing market trends, identifying target audiences, and positioning the brands to drive engagement, customer loyalty, and long-term growth.
• Leverage data-driven strategies to integrate innovative revenue management insights into business decision-making.
• Lead the development of new revenue streams and recommend the best course of action to market, optimizing revenue generation in alignment with demand, and establishing control versus experimental soft launches before broad expansion.
• Leverage strategies like gamification, product bundling, cross-selling, up-selling, and product expansion to drive sustained growth in the customer base, enhance engagement, and significantly boost .com traffic over the long term.
• Ideate and implement new promotional strategies focused on growing the membership base, enhancing brand awareness, and ultimately maximizing Revenue per Use (RPU).
• Define initiative owners, share relevant information with key stakeholders, and ensure a consistent feedback loop.
• Serve as the key connector between Revenue Management (RM), Sales, Marketing, Product, and Customer Experience teams in planning for short, medium, and long-term strategies of alignment and optimization.

Requirements

• A bachelor’s degree (or foreign equivalent) in business intelligence, project management, business analytics or related field and 5 years of experience as a Director, Strategic Optimization or related, performing commercial revenue management or logistics.
• In the alternative, a Master’s degree (or foreign equivalent) and 3 years of experience.
• Experience driving business initiatives and ensuring seamless execution across stakeholders (product, marketing, sales, etc.), leveraging KPIs as indicators of success, including price elasticity.
• Experience testing statistical analysis, from regression to A/B testing; Experience using machine learning methodologies to optimize the pricing experience.
• Experience using a project charter tool, including MS Project, Asana, or Jira, for commercial development.
• Experience conducting analyses, developing measurement plans, and leveraging data to drive business decisions using Tableau and SQL.
• Experience performing automation of analytical processes using Python.

Qualifications

Experience driving business initiatives and ensuring seamless execution across stakeholders (product, marketing, sales, etc.), leveraging KPIs as indicators of success, including price elasticity. Experience testing statistical analysis, from regression to A/B testing; Experience using machine learning methodologies to optimize the pricing experience. Experience using a project charter tool, including MS Project, Asana, or Jira, for commercial development. Experience conducting analyses, developing measurement plans, and leveraging data to drive business decisions using Tableau and SQL. Experience performing automation of analytical processes using Python.

Skills

Experience driving business initiatives and ensuring seamless execution across stakeholders (product, marketing, sales, etc.), leveraging KPIs as indicators of success, including price elasticity. Experience testing statistical analysis, from regression to A/B testing; Experience using machine learning methodologies to optimize the pricing experience. Experience using a project charter tool, including MS Project, Asana, or Jira, for commercial development. Experience conducting analyses, developing measurement plans, and leveraging data to drive business decisions using Tableau and SQL. Experience performing automation of analytical processes using Python.

Benefits

Flexible working arrangements, including the option to work from home on an as-needed basis.

Pay

$XX.XX - $YY.YY per hour

Schedule

Hybrid schedule, requiring regular reporting to the office.