Manager, Strategic Pricing & Advanced Analyti

Job Description

Job Description

Job Title: Manager, Strategic Pricing & Advanced Analytics

Location: Purchase, NY preferred; other major LM locations may be considered
Reports to:  Vice President of Business Operations and Strategic Innovation
Department:  Business Operations and Strategic Innovation

Company Summary:

Lindenmeyr Munroe is a fifth-generation, family-owned company founded in 1859. We are the leading independent provider of paper, packaging, wide format, and facility solutions in the U.S., offering a comprehensive selection of products and services. With local sales teams, inventory, and transportation, we prioritize accessibility and exceptional service for our customers. As part of Central National Gottesman Inc., a global leader in the forest products industry, we bring the strength of a worldwide organization to our local operations.

Position Summary:

Lindenmeyr Munroe is seeking a commercially minded analytics leader to lead Advanced Analytics across LM, with an initial focus on strategic pricing and margin optimization. This role will turn complex business and customer data into clear recommendations, partner across Sales, Operations and Technology, and drive initiatives from analysis through implementation, adoption and measurement. As the function evolves, the role will expand beyond pricing into broader analytics and practical AI/ML opportunities that create measurable business value.

Essential Functions:

• Strategic Pricing and Margin Analytics:  Lead pricing and margin analytics across a complex distribution environment, evaluating levers such as list price, markup, customer segment, product mix and customer-specific arrangements.

• Insight to Recommendation:  Translate complex analysis into clear, actionable recommendations by leading with the answer, quantifying expected impact and clearly stating assumptions, risks and tradeoffs.

• Cross-Functional Influence:  Partner with Sales, Operations and Technology leaders to move recommendations into action, build credibility and navigate differing priorities and stakeholder concerns.

• Communication:  Tailor insights for different audiences, from branch sales representatives to data engineers and senior leaders, adjusting the level of detail and business framing appropriately.

• Implementation and Adoption:  Own initiatives through rollout, adoption and measurement, including the practical work required to address data quality, system constraints and process changes.

• Data Quality and Validation:  Work confidently with large and complex datasets, validate results, identify data-quality issues and challenge misleading or incomplete conclusions.

• AI/ML Business Applications:  Evaluate AI and machine learning opportunities with a practical business lens, including defining use cases, developing ROI cases, establishing success measures and connecting technical teams with business users.

• Advanced Analytics Roadmap:  Help shape the Advanced Analytics roadmap as the mandate expands from pricing into broader analytics and AI/ML-enabled business opportunities.

Qualifications

• Experience: 5-7 years of experience in advanced analytics, pricing, commercial strategy, revenue or margin management, business intelligence, or a related field.

• Commercial Mindset:  Strong commercial judgment and understanding of pricing, margin, customer segmentation and product-mix dynamics within a complex business environment.

• Business Impact:  Demonstrated experience turning complex analysis into business recommendations and measurable outcomes.

• Influence:  Proven ability to influence cross-functional stakeholders without direct reporting authority and effectively address questions or pushback.

• Communication Skills:  Strong communication and presentation skills, with the ability to make complex topics clear and useful for technical and non-technical audiences.

• Implementation Experience:  Hands-on experience implementing analytics or pricing initiatives, including rollout, adoption, measurement and process change.

• Data Fluency:  High level of comfort working with large datasets, identifying anomalies, testing reasonableness and recognizing data-quality concerns.

• AI/ML Literacy:  Working knowledge of AI/ML concepts and business applications. Model-building expertise is not required.

• Self-Direction:  Ability to work independently in a broad, evolving role and bring structure to ambiguous business problems.

Salary Range

The anticipated base salary range for this position is $125,000-$160,000  annually . Actual compensation will be determined based on factors including experience, qualifications, skills, and geographic location.

Benefits: Eligible employees may participate in the Company's benefit programs, including medical, dental, vision, 401(k), paid time off, etc., subject to the terms and eligibility requirements of the applicable plans.

Equal Opportunity Employment

Lindenmeyr Munroe is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status, or any other basis protected by law. Employment decisions are made based on qualifications, merit, and business needs.