Senior Manager/ Associate Director - Technology Strategy (Pricing Operations)
Tiger Analytics, Chicago Heights, Illinois, United States, 60411
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: 1. 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.
2. 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.
3. 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
4. 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.
5. 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.
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
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: 1. 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.
2. 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.
3. 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
4. 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.
5. 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.
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
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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