• A minimum of 1 year of hands-on Data Science experience is required.
• Bachelor's Degree in a STEM field is required.
• Proficient with one or more programming languages (Java, C++, Python, R, etc.)
• Proficient in Agile Development and Git operations 
• A Top Secret Clearance with SCI eligibility is required 
• Demonstrated ability to work in a fast-paced environment with evolving requirements

• Familiarity with DoD
• Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. 

About the Role

The Director of Pricing Strategy is a senior, cross-functional leadership role responsible for owning the full lifecycle of freight pricing, from bid strategy and RFP response through programmatic API-based quoting and real-time margin management. This role sits at the intersection of commercial, data, and technology and serves as the company's authoritative voice on rate strategy, market intelligence, and pricing model architecture.

The ideal candidate combines deep freight industry fluency with hands-on analytical capability and technical literacy to collaborate directly with data science and engineering teams. This is a player-coach role with a mandate to build scalable pricing infrastructure that supports both reactive bid work and proactive revenue optimization.

Core Responsibilities

Bid Management & Commercial Pricing

• Own end-to-end RFP and bid pricing strategy, setting floor/ceiling logic by lane, mode, and customer segment
• Partner with Sales to develop winning bid packages that balance competitiveness with margin integrity
• Build and maintain carrier cost models that feed bid pricing, incorporating fuel, accessorials, and capacity conditions
• Establish pricing governance, approvals, exception handling, and escalation paths for non-standard deals

Market Intelligence & Rate Analytics

• Monitor and synthesize external freight indices, including DAT spot rates, Cass Freight Index, EIA diesel prices, and BLS wage data
• Translate external market signals into actionable pricing adjustments; communicate trends to Sales and Operations leadership
• Maintain competitive rate benchmarks across key lanes and customer verticals
• Develop and maintain a freight cost and revenue forecasting model covering a 2–3-year history, 6–12-month trend direction, and 30–60-day live calibration layers

API & Programmatic Pricing

• Manage integrations with market cost APIs, spot market data feeds, and TMS pricing modules
• Define the business rules and model logic that drive automated quoting and real-time rate responses
• Own the requirements and business logic for any AI-assisted pricing tools or forecasting models built internally

P&L Visibility & Margin Management

• Track cost vs. revenue performance at the load, lane, and customer level
• Partner with Finance to develop pricing-related reporting within the data platform (SQL Server, Databricks)
• Establish margin policies and alert mechanisms for loads trending below threshold

Strategy & Leadership

• Serve as a strategic advisor on pricing positioning, market conditions, and competitive dynamics
• Represent pricing strategy in client-facing meetings, QBRs, and partnership discussions
• Define and report on a monthly pricing performance scorecard for leadership
• Evaluate and recommend third-party tools, data subscriptions, and technology investments that strengthen the pricing function

Qualifications

Required

• 7+ years of experience in freight pricing, rate analysis, or commercial strategy within a 3PL, brokerage, or asset-based carrier
• Deep knowledge of TL and LTL pricing mechanics
• Strong analytical skills; comfortable working in SQL, Excel, or BI tools to build and validate pricing models
• Track record of collaborating directly with sales, operations, and technology teams in a cross-functional capacity
• Excellent communication skills, able to translate complex pricing analysis into an executive-ready narrative

Preferred

• Experience with freight data platforms or indices (DAT, Cass, Greenscreens, FreightWaves SONAR)
• Familiarity with Databricks, Sigma, or similar modern data stack tools
• Exposure to machine learning or statistical forecasting models applied to freight pricing
• Experience in a TMS environment (TMW, McLeod, MercuryGate, or similar)

#LI-CH1

Job Overview

The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends deep data science expertise with program analysis, enabling the organization to extract insights from large-scale, heterogeneous data sources, automate analytical workflows, and support mission-critical decision-making. The ideal candidate is a hands-on technical expert who can independently develop models, pipelines, analytical tools, and dashboards that simplify understanding and aid decision making while also collaborating with and providing their own analysis and insights to cross-functional teams, senior leaders, and external partners to aid with program planning, execution, and ultimately delivery of project objectives.

Essential Functions

• Develop scalable algorithms for large-scale data, applying data mining, clustering, statistical modeling, graph analytics, and visualization techniques to solve analytical problems with incomplete data sets.
• Conduct exploratory data analysis, identify patterns, and generate actionable insights from structured, semi-structured, and unstructured data.
• Develop visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
• Build tools and automation to streamline data ingestion, transformation, and analysis.
• Design and optimize analytic pipelines, graph traversal queries, and data processing workflows to ensure reliable performance across all environments.
• Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics.
• Design, develop, test, and document data science microservices and analytical applications
• Conduct data analysis to support project performance tracking and decision-making processes using key metrics and reporting tools
• Collaborate with program managers to gather, validate and analyze data to ensure data accuracy and usability.
• Prepare and maintain project documentation, including charters, plans, timelines, status reports, reporting dashboards, and deliverables.
• Collaborate with program managers and team members to identify challenges and risks, provide analysis and management recommendations.
• Develop and analyze key performance indicators (KPIs) to monitor project health and success.
• Assist in budget tracking, cost analysis, and resource allocation planning to help ensure projects remain within financial parameters.
• Maintain and update project management tools and systems
• Generate detailed project reports, dashboards, and presentations for stakeholders.
• Research best practices, recommend process improvements, and support the development of processes and tools to enhance project efficiency.
• Facilitate and participate in post-project evaluations and recommend improvements for future initiatives.
• Ensure that all project documentation is stored and organized according to PMO standards
• Perform additional duties as required to support the success of project initiatives.

Standard Essential Functions

• Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
• Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
• Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies

• Proficient in Microsoft Excel (e.g., dynamic arrays, Power Query, PowerPivot) and project management tools (e.g., MS Project, Jira), as well as the Microsoft Office Suite (Word, Excel, PowerPoint)
• Strong analytical and problem-solving skills with a focus on interpreting data and providing actionable insights.
• Proficiency in Python; experience with C++, Java, or R is beneficial
• Familiarity with AI/ML tools supporting logistics or operational use cases.
• Ability to quickly learn new tools and technologies.
• Effective verbal and written communication, alongside strong interpersonal and collaboration skills.
• Detail-oriented with a commitment to accuracy, data integrity, and confidentiality
• Ability to manage multiple tasks and priorities effectively in a fast-paced environment.
• Self-starter with strong problem-solving skills; able to work independently with minimal oversight.
• Collaborative team player with strong interpersonal skills.
• Excellent organizational and time management skills in fast-paced environments.

Education / Certifications

• Bachelor’s degree in business administration, data analytics, or a related field.
• Master’s degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred.
  • Additional applicable experience may be substituted for formal education.
• Certifications in project management (e.g., PMP, CAPM) or data analysis (e.g., Tableau, Power BI) are a plus.

Experience

• 5+ years of experience using data science, machine learning, or advanced analytics
• 2+ or more years of experience in project analysis, data analysis, or project management (preferred).
• Experience in data management, reporting, or process improvement roles is preferred. • Experience with BI tools (Tableau, PowerBI, Qlik).
• Experience with Continuous Integration/deployment (CI/CD) tools (Git, Jenkins, Docker).
• Experience with graph analytics and graph traversal languages (Gremlin, Cypher, GraphML).
• Experience communicating analytical findings through visualizations and presentations.
• Experience with data orchestration tools (Airflow) and data engineering platforms (Databricks, ElasticSearch, Apache NiFi, StreamSets).
• Experience working with structured, unstructured, or semi-structured data and conducting analysis
• Strong experience with SQL and relational databases.

Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is:

• Frequently required to sit, and to reach to use computers and other office equipment

For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Security Clearance

• Ability to obtain/maintain Secret DoD clearance minimum, U.S Citizenship required.
• Eligibly to obtain/maintain Top Secret/SCI preferred.

Disclaimer:

AEVEX Aerospace is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.

About Upshop: 

Upshop is the foremost provider of a SaaS platform designed to streamline forecasting, ordering, production, and inventory optimization processes for food retailers. Its unified platform simplifies and enhances associate tasks, promoting smarter and more interconnected operations across Fresh, Center, DSD, and eCommerce departments. With over 450+ retailers and 50,000+ stores relying on its mission-critical operations platform globally, customers have witnessed substantial enhancements in sales, shrinkage reduction, food safety, and sustainability throughout their stores.  

At Upshop, we believe that great businesses are built by great people. Our People function is at the heart of our company’s growth, ensuring we attract, develop, and retain A Players who drive our mission forward.  

Our Values:

• Extremely Accountable
• Customer Obsessed
• Always Innovating
• Demand Excellence
• Biased for Action

Data Engineering Manager

Role Overview

We are seeking an experienced Data Engineering Manager to lead the technical evolution of our Databricks Lakehouse. You will be responsible for the architecture, scaling, and reliability of our data products, ensuring that the platform provides high-quality, actionable data for retail and supply chain analytics. This is a leadership role that requires a balance of advanced systems design and hands-on operational rigor.

Key Responsibilities

🔹 Architecture & Platform Ownership

• Lakehouse Strategy: Own the end-to-end design and optimization of the Databricks Lakehouse architecture, leveraging Unity Catalog and Delta Lake for multi-tenant isolation.
• Scalable Ingestion: Drive multi-tenant ingestion strategies from Azure Table Storage, Cosmos DB, and APIs, focusing on watermark logic and idempotent pipelines.
• Framework Development: Lead the evolution of in-house PySpark-based ETL frameworks to support complex transformations and downstream consumption.

🔹 Operational Excellence & Data Observability

• Data Quality Validation: Implement comprehensive data validation frameworks and automated checks to ensure accuracy, completeness, and consistency across the Lakehouse.
• Observability & Monitoring: Drive the strategy for end-to-end data observability, using monitoring and alerting to proactively identify pipeline drifts or failures before they impact stakeholders.
• FinOps & Performance: Improve cost transparency through DBU tracking and compute profiling (Serverless vs. Classic); drive performance tuning via clustering and partitioning strategies.

🔹 DevOps & Technical Governance

• Deployment Integrity: Oversee CI/CD pipelines and Databricks Asset Bundles (DABs) to maintain parity between UAT and Production environments.
• Governance Standards: Implement version control, rollback strategies, and deployment governance to ensure a stable and auditable production environment.

🔹 Cross-Functional Leadership

• Strategic Partner: Partner with BI, Data Science, and Product teams to bridge business requirements into scalable, production-grade data solutions.
• Team Growth: Mentor and lead a distributed team of engineers, focusing on high-velocity delivery and technical excellence.
• Tenant Logic: Support customer onboarding by designing tenant-specific transformation logic that scales without increasing architectural complexity.

Qualifications

• 8+ years in Data Engineering; 3+ years in a leadership/management role.
• Expert in Workflows, Unity Catalog, and Delta Lake.
• Deep proficiency in PySpark, SQL, and Azure Data ecosystem (Storage, Cosmos DB).
• Proven experience managing multi-tenant or enterprise-scale platforms.
• Strong background in CI/CD, Infrastructure-as-Code, and Data Modeling.

Preferred Skills

• Experience with retail or supply chain data forecasting.
• Expertise in optimizing serverless compute environments.
• Experience maintaining production SLAs for customer-facing data dependencies.