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
Healthtech • Software
Leads and develops a Data Platform engineering team while owning delivery of complex data initiatives. The role establishes delivery discipline, assesses technical and implementation risks, partners cross-functionally, and drives production reliability, data quality, observability, incident management, and on-call readiness. It also guides the evolution of scalable data ingestion, transformation, lakehouse, cloud architecture, governance, and reusable platform capabilities.
Top Skills:
Amazon AthenaApache AirflowApache IcebergSparkAWSAws GlueCi/CdEtl/EltPysparkS3
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.
Top Skills:
ClaudeDatabricksDbtPythonSQLStreamlitTableau
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Coordinates discharge planning and telephonic case management for high-risk members. Assesses discharge needs, prevents readmissions, collaborates with providers and care teams, arranges post-hospital services, identifies community resources, supports alternate-level-of-care placement, participates in clinical rounds, and documents interventions. The role is remote for permanent Pennsylvania residents and requires acute inpatient nursing and discharge-planning experience.
Top Skills:
InterqualMcg GuidelinesExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordSecure High-Speed Internet
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
