Manage pricing infrastructure and strategy, maintain price books, evaluate EBITDA impact, and lead commercial integration for acquisitions and Greenfield operations. Deliver P&L variance, price mix, financial risk, and productivity analyses supporting margin improvement and Capex decisions. Partner with Operations, IT, and the AI Steering Committee on commercial systems, responsible AI governance, and AI-enabled workflow improvements. Regular travel to branches and regional operations, including overnight stays, is required.
Position Summary
The Manager of Pricing & Business Analytics is responsible for managing the company’s pricing infrastructure and strategy, leading commercial integration for acquired businesses and Greenfields, and delivering financial analysis that supports margin improvement and strategic decision-making by leveraging AI-driven solutions.
Essential duties and responsibilities
Pricing
- Manage and maintain pricing data across all price books, requiring advanced data manipulation skills, expertise in Excel, and knowledge of AI solutions to ensure accuracy and efficiency in price book and quote updates.
- Conduct lookbacks to ensure pricing strategies are executed successfully and achieve their expected EBITDA impact, using AI solutions where applicable.
Commercial Integration
- Oversee the M&A integration and Greenfield start-up workstream related to commercial process and tablet solutions, working directly with Operations and the IT team to develop fit-for-purpose solutions.
Business Performance & Analytics
- Conduct financial analysis to provide insights into key business drivers and performance metrics, including P&L variance and price mix analysis in support of margin improvement processes, leveraging AI tools where applicable.
- Support financial risk and operations evaluations for operational reviews and Capex decisions.
- Support cost-productivity efforts by partnering with regional and branch teams to identify and analyze initiatives that improve overall company profitability.
- Partner with the AI Steering Committee to support the development and adoption of standards, best practices, and governance for responsible AI usage across the organization.
Education and Experience
Required
- Bachelor’s degree in Business, Finance, Economics, Data Analytics, or a related field, or equivalent relevant experience.
- 5+ years of experience in financial analysis, pricing, or business planning and analysis.
- Extensive data analysis, modeling, and reporting experience, including work with large, complex datasets.
Preferred
- Experience supporting M&A integration, Greenfield start-ups, or commercial systems integration initiatives.
- Advanced proficiency with key software, including PowerPoint and analytical features of MS Excel, and familiarity with tools such as Dataloader.io or Power BI.
- Experience with Claude or similar generative AI tools.
competencies
- Integrity
- Relationship Building
- Customer Focus
- Analytical Thinking
- Innovation
job demands and work environment
- Frequent sitting for extended periods, with regular travel to branch and regional operations.
- Ability to work across office and operational environments, including exposure to industrial settings during site visits.
- Use of Personal Protective Equipment (PPE) as required during site visits.
- Ability to manage multiple priorities under deadlines, analyze operational challenges, and make high-stakes decisions.
- Strong problem-solving skills and ability to adapt to rapidly changing environments.
- Travel required, including overnight stays, to support integration and regional business initiatives.
success criteria
In the first 12 months, success looks like:
- Price books maintained with pricing actions executed on schedule and achieving expected strategic and financial impact.
- Successfully support Greenfield and integration 30- and 60-day sprints on the commercial workstream.
- Deliver P&L variance and price mix analysis that measurably supports margin improvement initiatives.
- At least one AI-enabled workflow improvement identified and piloted in pricing, quoting, or reporting.
Please note this Job Description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. The position will also undertake other responsibilities and duties that may be assigned by SES from time to time.
SES is an Equal Opportunity Employer and complies with all federal, state, and local employment laws, including the Americans with Disabilities Act (ADA). Reasonable accommodations will be made for qualified individuals with disabilities to perform essential job functions.
SES provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under federal, state, or local laws.
This job description is not a contract of employment. Employment is at-will and may be terminated at any time with or without cause.
Similar Jobs
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead end-to-end executive recruiting for AVP, VP, and C-suite roles. Develop search strategies, source and assess senior candidates, build leadership pipelines, and advise business leaders and HR stakeholders. Conduct market mapping, provide compensation and competitive insights, manage executive search firms, and deliver a high-touch candidate experience. Support onboarding, promote diverse candidate slates, and ensure recruiting practices align with company values and governance standards.
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Investigate and respond to real-time security detections across endpoint, identity, email, network, and cloud environments. Analysts perform forensic and malware analysis, assess Microsoft 365 incidents, identify root cause and compromise scope, recommend remediation, improve detection processes, and communicate findings clearly to customers. The role requires incident response, threat analysis, operating system, network, identity, SIEM, scripting, and AI fundamentals, with a four-day, ten-hour schedule including one weekend day.
Top Skills:
Active DirectoryBashEdrLinuxmacOSMicrosoft 365Microsoft Entra IdMitre Att&CkOktaPowershellPythonSIEMWindows
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Triage, investigate, and respond to security detections across endpoint, identity, email, network, and cloud environments. Analyze EDR telemetry, logs, forensic artifacts, malware, Microsoft 365 incidents, and network activity to determine compromise scope and recommend remediation. Communicate findings and guidance to customers, improve detection and response processes, and use scripting and AI technologies to streamline investigations. The role requires a 4x10 schedule, including one weekend day, and is limited to U.S. citizens and Green Card holders.
Top Skills:
Active DirectoryAi TechnologiesBashCrowdstrike Falcon CompleteEndpoint Detection And Response (Edr)Forensic Analysis ToolsLinuxmacOSMalware Analysis ToolsMicrosoft 365Microsoft Entra IdMitre Att&CkNetwork ProtocolsOktaPowershellPythonSIEMWindows
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
