Senior Manager/ Associate Director - Technology Strategy (Pricing Operations)
Tiger Analytics, Chicago, Illinois, United States, 60290
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are seeking a highly experienced
Techno-Functional Consultant
who will lead
Pricing Operations
while driving the
technology direction and architecture strategy
across Google Cloud, Data Science Modeling, Agentic AI, Software Engineering, and Solution Architecture.
This is a hybrid role requiring strong business acumen in pricing and commercial operations, combined with deep technical expertise to design scalable, AI-driven, cloud-native solutions that enable intelligent pricing, automation, and data-driven decision-making.
The ideal candidate bridges business and engineering teams, ensuring pricing strategy is operationally efficient, analytically robust, and technologically advanced.
RESPONSIBILITIES
Pricing Operations Leadership
Own and optimize end-to-end pricing operations, governance, and execution
Design and implement scalable pricing frameworks (dynamic pricing etc.)
Collaborate with Market Teams and other Pricing Strategic Advisors to operationalize pricing strategy
Build and streamline workflows across the engine offerings for margin optimization and pricing intelligence
Ensure pricing compliance, data integrity, and audit readiness
Technology Strategy & Architecture
Define and drive technology roadmap aligned with pricing and business strategy
Architect scalable, secure solutions on AWS /GCP
Lead solution architecture reviews and ensure adherence to best practices
Evaluate emerging technologies (Agentic AI, LLMs, automation frameworks) for business adoption
Guide build vs. buy decisions and vendor evaluations
Data Science & AI Enablement
Design and oversee pricing models using statistical modeling and machine learning
Implement predictive and prescriptive analytics for pricing optimization
Lead development of AI-powered tools (e.g., store segmentation, price elasticity modeling, margin and revenue constrained optimization)
Drive adoption of Agentic AI systems for autonomous decision support, pricing simulations, and workflow automation
Collaborate with data engineering teams on data pipelines, feature stores, model deployment and monitoring
Solution Engineering & Delivery
Oversee full SDLC: architecture, design, development, testing, and deployment
Establish best practices in code quality, CI/CD, DevOps, and cloud-native development
Lead cross-functional engineering teams and external partners
Ensure high availability, scalability, and performance of pricing platforms
Implement APIs and microservices architecture to integrate pricing systems with ERP/CRM platforms
Stakeholder & Functional Leadership
Act as the bridge between business stakeholders and technical teams
Liaison and drive technology architecture and strategy working with senior technical client team
Translate complex business pricing requirements into technical designs
Present technology and pricing insights to leadership
Mentor junior consultants and analysts
Drive change management and adoption across the organization
Requirements
8-12 years of experience in techno-functional consulting, solution architecture, or enterprise technology roles.
Proven experience in setting up, managing, or transforming pricing operations in B2B or large enterprise environments.
Hands‑on expertise with AWS (S3, EMR, RDS, Airflow) and GCP (BigQuery, Cloud Run, Vertex AI, Dataflow).
Experience in data science, machine learning lifecycle, and model deployment.
Familiarity with Generative / Agentic AI frameworks, LLM orchestration, or AI automation tools.
Strong programming and engineering fundamentals in Python, SQL, APIs, and microservices.
Experience designing enterprise‑level architectures, system integrations, and technology migrations.
Good understanding of pricing strategies such as dynamic pricing, promotions, and conjoint analysis, along with retail pricing and revenue management concepts like margin analysis, revenue optimization, and cost modeling.
Strong analytical thinking, problem‑solving ability, and stakeholder communication skills.
Experience leading cross‑functional teams and programs.
Preferred
Background in SaaS or cloud product companies.
AWS/GCP or Solution Architecture/Data Engineering certifications.
Experience implementing AI‑driven decision systems in enterprise environments.
MBA or advanced degree in Technology, Engineering, Data Science, or Business.
Core Competencies
Strategic thinking with strong execution focus
Balance of technical depth and business understanding
Leadership and influencing skills
Innovation mindset and data‑driven decision making
Clear communication and executive presence
Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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We are seeking a highly experienced
Techno-Functional Consultant
who will lead
Pricing Operations
while driving the
technology direction and architecture strategy
across Google Cloud, Data Science Modeling, Agentic AI, Software Engineering, and Solution Architecture.
This is a hybrid role requiring strong business acumen in pricing and commercial operations, combined with deep technical expertise to design scalable, AI-driven, cloud-native solutions that enable intelligent pricing, automation, and data-driven decision-making.
The ideal candidate bridges business and engineering teams, ensuring pricing strategy is operationally efficient, analytically robust, and technologically advanced.
RESPONSIBILITIES
Pricing Operations Leadership
Own and optimize end-to-end pricing operations, governance, and execution
Design and implement scalable pricing frameworks (dynamic pricing etc.)
Collaborate with Market Teams and other Pricing Strategic Advisors to operationalize pricing strategy
Build and streamline workflows across the engine offerings for margin optimization and pricing intelligence
Ensure pricing compliance, data integrity, and audit readiness
Technology Strategy & Architecture
Define and drive technology roadmap aligned with pricing and business strategy
Architect scalable, secure solutions on AWS /GCP
Lead solution architecture reviews and ensure adherence to best practices
Evaluate emerging technologies (Agentic AI, LLMs, automation frameworks) for business adoption
Guide build vs. buy decisions and vendor evaluations
Data Science & AI Enablement
Design and oversee pricing models using statistical modeling and machine learning
Implement predictive and prescriptive analytics for pricing optimization
Lead development of AI-powered tools (e.g., store segmentation, price elasticity modeling, margin and revenue constrained optimization)
Drive adoption of Agentic AI systems for autonomous decision support, pricing simulations, and workflow automation
Collaborate with data engineering teams on data pipelines, feature stores, model deployment and monitoring
Solution Engineering & Delivery
Oversee full SDLC: architecture, design, development, testing, and deployment
Establish best practices in code quality, CI/CD, DevOps, and cloud-native development
Lead cross-functional engineering teams and external partners
Ensure high availability, scalability, and performance of pricing platforms
Implement APIs and microservices architecture to integrate pricing systems with ERP/CRM platforms
Stakeholder & Functional Leadership
Act as the bridge between business stakeholders and technical teams
Liaison and drive technology architecture and strategy working with senior technical client team
Translate complex business pricing requirements into technical designs
Present technology and pricing insights to leadership
Mentor junior consultants and analysts
Drive change management and adoption across the organization
Requirements
8-12 years of experience in techno-functional consulting, solution architecture, or enterprise technology roles.
Proven experience in setting up, managing, or transforming pricing operations in B2B or large enterprise environments.
Hands‑on expertise with AWS (S3, EMR, RDS, Airflow) and GCP (BigQuery, Cloud Run, Vertex AI, Dataflow).
Experience in data science, machine learning lifecycle, and model deployment.
Familiarity with Generative / Agentic AI frameworks, LLM orchestration, or AI automation tools.
Strong programming and engineering fundamentals in Python, SQL, APIs, and microservices.
Experience designing enterprise‑level architectures, system integrations, and technology migrations.
Good understanding of pricing strategies such as dynamic pricing, promotions, and conjoint analysis, along with retail pricing and revenue management concepts like margin analysis, revenue optimization, and cost modeling.
Strong analytical thinking, problem‑solving ability, and stakeholder communication skills.
Experience leading cross‑functional teams and programs.
Preferred
Background in SaaS or cloud product companies.
AWS/GCP or Solution Architecture/Data Engineering certifications.
Experience implementing AI‑driven decision systems in enterprise environments.
MBA or advanced degree in Technology, Engineering, Data Science, or Business.
Core Competencies
Strategic thinking with strong execution focus
Balance of technical depth and business understanding
Leadership and influencing skills
Innovation mindset and data‑driven decision making
Clear communication and executive presence
Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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