Senior Manager/ Associate Director - Technology Strategy (Pricing Operations) job opportunity at Tiger Analytics Inc..

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Date2026-02-17T15:17:28.440Z bot
Tiger Analytics Inc. Senior Manager/ Associate Director - Technology Strategy (Pricing Operations)
Experience: Highly Experienced
Pattern: Full-time
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degreeMBA
loacation Chicago, United States Of America
loacation Chicago....United States Of America
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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

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