Kaizen Analytix

Accountant

• Manage employee credit card and expense reimbursement platform (Brex)
• Enter and process accounts payable on a weekly basis
• Generate current and future invoices based on Statements of Work (SOWs) and agreements in Sage Intacct
• Create and produce customer invoices, monthly and ad-hoc

Staff Accountant

Business Analyst

• Serve as the primary business analyst supporting the development and rollout of a Custom Pricing Optimization solution
• Partner closely with business stakeholders, pricing SMEs, data science teams, and technical teams to define requirements
• Translate pricing concepts into clear functional specifications and user stories for the technical team
• Finalize the design of User Interface and present/iterate to the client
• Perform comprehensive validation and reasonableness checks on system pricing recommendations
• Develop and execute UAT test cases, acceptance criteria, and end-to-end testing scripts
• Conduct pricing analysis to identify trends, anomalies, and opportunities for optimization

Senior Pricing Business Analyst

Product Manager

• Partner with Product and Data Analytics leadership to define product strategy and roadmaps (short- and long-term).
• Lead backlog grooming and prioritization, bridging business value with technical implementation.
• Translate product features into clear backlog items with well-defined acceptance criteria.
• Build user story maps, write user stories, manage backlog refinement and prioritization, and support acceptance test-driven development.
• Create and maintain release documentation and ongoing training materials.
• Represent agile teams in sprint reviews, articulating delivered business value.
• Apply creative and rigorous problem-solving to address platform-wide technical and business challenges.
• Identify key value drivers, opportunities, and sources of error across products and processes.
• Lead short-term preventive measures and long-term product improvement initiatives in close collaboration with engineering, QA, and data support teams.
• Coordinate with engineers to design repeatable processes and generate deliverables to answer routine business questions.

Automotive Data & Market Intelligence Product Owner

• Partner with Product and Data Analytics leadership to define product strategy and roadmaps (short- and long-term)
• Lead backlog grooming and prioritization, bridging business value with technical implementation
• Translate product features into clear backlog items with well-defined acceptance criteria
• Build user story maps, write user stories, manage backlog refinement and prioritization, and support acceptance test-driven development
• Create and maintain release documentation and ongoing training materials
• Represent agile teams in sprint reviews, articulating delivered business value
• Apply creative and rigorous problem-solving to address platform-wide technical and business challenges
• Identify key value drivers, opportunities, and sources of error across products and processes
• Lead short-term preventive measures and long-term product improvement initiatives in close collaboration with engineering, QA, and data support teams
• Coordinate with engineers to design repeatable processes and generate deliverables to answer routine business questions

Product Owner – Automotive Insights

Data Scientist

• Provide analytical support by leveraging data mining tools and analytical methodologies
• Assist in data modeling and analysis to determine key customer insights, drive business strategies, and maximize ROI
• Integrate internal and external data sources, be comfortable working with both structured and unstructured data
• Assist in development, maintenance, and enhancement of statistical models in Python
• Use statistical tools and techniques to extract and analyze trends from the customer database warehouse
• Prepare and deliver presentations with complex analytical concepts
• Comfortable presenting to the business and upper management

Senior Media Data Scientist – Contractor

Strategy

• Develop and execute strategic initiatives addressing key automotive industry challenges, including competition, regulatory compliance, profitability, environmental impacts, and technological advancements.
• Collaborate closely with clients to clearly define strategic objectives and devise actionable, data-informed plans for achieving them.
• Conduct rigorous market research and industry analyses to identify emerging trends, risks, and opportunities within automotive.
• Work collaboratively across various teams to synthesize complex automotive data, design robust solutions, and create actionable insights addressing key business challenges such as market positioning, sales optimization, revenue management, incentive structuring, pricing strategy, and profitability enhancement.
• Shape operating models and conduct feasibility assessments based on deep insights into automotive data maturity and business needs.
• Prepare and deliver compelling presentations and strategic recommendations to clients, leveraging deep industry expertise and analytical insights.
• Serve as a subject matter expert, particularly in areas such as Automotive Pricing, Revenue Management, and Product Lifecycle Management.
• Contribute actively to thought leadership content, including white papers and industry presentations.

Automotive Strategy Consultant

• Work with team of analysts/data scientists/software engineers in performing and implementing high quality, sophisticated analysis in support of client engagements
• Apply multi-variable, complex statistical analysis and mathematical programming algorithms like linear programming, MIP, discrete optimization on large data sets to gain useful insights into the data, detect trends and outliers/invalid data conditions present in the data sets
• Develop custom scalable and sustainable integrated mathematical models by leveraging Python skills and optimization solvers such as Gurobi, CBC, CPLEX
• Work on data analysis and modeling related assignments as required

Data Science, Optimization – Contractor

AI Engineer

• Design, build, fine-tune, and deploy generative models and LLMs for various enterprise applications (e.g., content generation, chatbots, code assistance, data analysis).
• Leverage your deep knowledge of transformer architectures (e.g., GPT, BERT, T5) to fine-tune, optimize, and deploy Large Language Models (LLMs) for specific tasks.
• Implement state-of-the-art techniques such as Agentic AI, Context Engineering - Retrieval-Augmented Generation (RAG), prompt engineering, and model quantization.
• Build, train, and deploy autonomous and semi-autonomous AI agents capable of complex reasoning, tool use, and decision-making.
• Develop and implement AI/ML models for AIOps use cases, including anomaly detection, predictive monitoring, root cause analysis, and automated remediation.
• Write clean, efficient, well-documented, and production-ready code (primarily Python).
• Build and maintain data pipelines for training, evaluating, and serving AI models.
• Design end-to-end architectures for complex AI applications, considering scalability, reliability, security, maintainability, and cost-effectiveness within an enterprise environment.
• Evaluate and select appropriate AI/ML frameworks, models, platforms, and tools for specific projects.

AI Engineer – Generative AI, LLMs, AIOps

Solutions Engineer

• Conducts fact gathering sessions with users.
• Consults with Technical Managers and Business Owners to identify and analyze technology needs and problems.
• Participates in group application design activities.
• Performs data flow diagramming and/or process modeling (code architecture).
• Independently design, configure and implement various AWS modules.
• Some development will be required for shared services and components or technically challenging areas where the skills of an architect are needed.
• Providing senior management with process and design recommendations.
• Architectural decision-making.
• Works with the other technical team members to continually improve implementation strategies, development standards and other departmental processes and documentation.
• Provides technical assistance and mentoring to lower-level Software Engineers.
• Communicates plans, status, and issues to management on a regular basis.
• Adheres to department standards, policies, procedures, and industry best practices.
• Identify problems and analyze potential solutions including workarounds.
• Work with other Technology departments on integrated system support, as required.

AWS Solutions Architect

• Position Overview We are seeking a Product Owner to help define and drive the development of a custom software solution – an internal order management system.\n• Location: Hybrid: 2 days onsite in Buckhead, GA\n• Key Responsibilities Define and document requirements for technical and data-driven solutions, ensuring clarity for development & engineering teams.\n• Develop user stories, acceptance criteria, and work with the Development team to define technical specifications to populate and manage the product backlog.\n• Collaborate with cross-functional teams (engineering, data, and business stakeholders) to understand and document the work that is needed.\n• Work in an Agile/Scrum environment, supporting sprint planning, backlog grooming, and iterative product development.\n• Maintain a continuous improvement mindset, identifying opportunities for process and product optimization.\n• Required Qualifications 2+ years of experience in a product owner / analyst role for a technical or software implementation, Business Analyst, or related role.\n• Relevant experience in a technical development/engineering position may also be accepted.\n• Experience working within an Agile development framework.\n• Ability to write clear, concise user stories and define acceptance criteria for technical teams.\n• Excellent communication skills to translate technical details into business-friendly language and vice versa.\n• Experience with JIRA\n• Strong problem-solving skills and ability to structure and analyze complex technical challenges.\n• User-focused mindset with a keen ability to balance technical feasibility with business value.\n• Nice-to-have Qualifications: Background in data or software engineering to better support technical conversations\n• Experience with order management or other logistics-type solutions\n• Product Analyst Training or Certificate

Junior Product Owner (Contractor)

About the Role We are seeking an experienced Automotive Strategy Consultant with over 8 years of comprehensive automotive industry experience. This role requires extensive exposure to multiple functional areas within automotive, including compliance, finance, profitability, revenue management, pricing, and product lifecycle management. The ideal candidate leverages deep industry knowledge, market factors, strong analytical skills, and a data-driven approach to solving complex automotive challenges. Key Responsibilities Develop and execute strategic initiatives addressing key automotive industry challenges, including competition, regulatory compliance, profitability, environmental impacts, and technological advancements. Collaborate closely with clients to clearly define strategic objectives and devise actionable, data-informed plans for achieving them. Conduct rigorous market research and industry analyses to identify emerging trends, risks, and opportunities within automotive. Work collaboratively across various teams to synthesize complex automotive data, design robust solutions, and create actionable insights addressing key business challenges such as market positioning, sales optimization, revenue management, incentive structuring, pricing strategy, and profitability enhancement. Shape operating models and conduct feasibility assessments based on deep insights into automotive data maturity and business needs. Prepare and deliver compelling presentations and strategic recommendations to clients, leveraging deep industry expertise and analytical insights. Serve as a subject matter expert, particularly in areas such as Automotive Pricing, Revenue Management, and Product Lifecycle Management. Contribute actively to thought leadership content, including white papers and industry presentations. Qualifications 8+ years of broad automotive industry experience, solving complex business problems across multiple domains including compliance, finance, profitability, and product lifecycle management. Proven expertise in route-to-market strategies, sales optimization, revenue management, incentive structuring, pricing, and profitability analysis. Exceptional analytical, communication, and stakeholder management skills. Demonstrated ability to collaborate effectively with cross-functional teams in regulated or complex organizational environments. Bachelor's degree in Engineering, Finance, Business, Information Systems, or related fields. Nice to Have Experience with analytical and visualization tools such as Tableau or Power BI. Advanced degree (MBA or MS) in Engineering, Business, or a related discipline. Prior experience conducting automotive industry research. Membership and active participation in automotive industry groups.