Manager, Pricing Strategy & Analytics

About the role

We are seeking a strategic and analytically driven leader to oversee Molex’s Pricing Strategy & Analytics team. This role pairs hands-on leadership of a small technical team with the analytical depth to influence pricing strategy and translate data into commercial action. As part of the Pricing Economics function, the role partners closely with Sales, Finance, and Product, with strong potential to expand strategic and analytical influence over time.

Responsibilities

• Analyze pricing, margin, and profitability data to identify drivers of performance, leakage, and opportunity across product lines and customer segments.
• Develop and apply quantitative methods (elasticity, win/loss, price erosion, value drivers) to support pricing recommendations and decisions.
• Maintain the integrity and accessibility of pricing data across Snowflake, SAP, PROS, and analytical environments (R, Python, Power BI).
• Translate complex analyses into clear, decision-ready findings for commercial and executive audiences.
• Collaborate with business unit leaders, Sales, and Finance to align pricing execution with commercial strategy and customer outcomes.
• Communicate pricing trends, risks, and opportunities to senior leaders, with clear recommendations and supporting analysis.
• Optimize pricing workflows and automate low-value activities to free the broader commercial organization for higher-impact work.
• Lead the pricing systems team, including PROS administration, configuration, and integration with downstream commercial tools.
• Manage the team's priorities, capacity, and technical roadmap to ensure pricing platforms are reliable, governed, and aligned to business needs.
• Develop team members through coaching, performance feedback, and clear ownership of outcomes.
• Partner with cross-functional partners to deliver system enhancements and improve data quality across the pricing landscape.

Qualifications

• Bachelor's degree in Economics, Finance, Engineering, Mathematics, Statistics, Business, or a related quantitative field.
• 5+ years of progressive experience in pricing, commercial analytics, finance, or a closely related field.
• Experience with B2B industrial or manufacturing environments.
• Strong proficiency in SQL.

What Will Put You Ahead

• Experience with PROS, Vendavo, or equivalent pricing software.
• Demonstrated grasp of pricing concepts and economic thinking with the ability to apply them to commercial decisions.
• Experience working with cloud data platforms such as Snowflake, Databricks, Redshift, or BigQuery.
• Experience using Python or R to perform data analysis and generate business insights.
• An analytical thinker who is comfortable moving between systems, data, and strategy.
• A focus on building scalable data foundations rather than one-off analyses.
• Credible presence with stakeholders at all levels, from analysts to executives.
• A clean and direct communication style that lets the data speak.

Pay

We anticipate paying $120,000 - $170,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.

Schedule

The role is based in Lisle, IL, and benefits from regular collaboration with teammates and business partners at our headquarters. We are also open to candidates who can maintain a consistent presence between our Lisle and downtown Chicago office locations.