Machine Learning Engineer II

Summary: The Senior Manager, Software Engineer, Data Platform & Segmentation is a senior individual contributor accountable for the technical vision, design, and evolution of data platforms and segmentation capabilities that power Customer and Commercial product teams operating under a modern Product Operating Model. This role functions as a hands-on technical leader and multiplier, shaping how customer, commercial, and behavioral data is modeled, segmented, and activated across products, enabling better decisions, personalization, and measurable business outcomes. The role emphasizes deep technical expertise, product partnership, and architectural leadership, rather than people management. Core Accountabilities Product Model & Discovery Partnership Partner closely with Product Managers, Designers, and Tech Leads to co-own outcomes, not just data assets. Participate actively in product discovery to ensure segmentation strategies are technically feasible, scalable, and analytically sound. Translate business and customer questions into durable data models and segmentation frameworks. Machine Learning Strong experience in Machine Learning engineering, leveraging ML models to build Segmentation strategies   Experience operationalizing ML-driven segmentation, including integrating segmentation outputs into other products Collaborating with data scientists managing standards for model life cycle, monitoring drift, retraining, etc. Understanding of Azure ML (or any other cloud) workspaces and integrating them with Azure pipelines Data Platform & Segmentation Architecture Define and evolve the segmentation architecture across customer and commercial data domains. Design scalable data models that support real-time, near real time, and batch segmentation use cases. Ensure segmentation logic is reusable, explainable, and consistent across channels and products. Make explicit trade-offs across latency, accuracy, cost, privacy, and maintainability. Engineering Execution & Data Quality Build and maintain high-quality, production-grade data pipelines and services. Ensure strong standards for data quality, lineage, observability, and reliability. Reduce fragmentation and duplication in segmentation logic across teams. Leverage metrics to continuously improve data freshness, accuracy, and usability. Individual Contributor Technical Leadership Act as a go-to expert for data platform and segmentation design. Lead complex technical initiatives end-to-end through hands-on contribution. Influence technical direction through design reviews, reference implementations, and documented standards. Mentor senior engineers and Tech Leads through coaching and technical guidance (without direct management responsibility). Microsoft Azure Data Platform & Fabric Expertise Demonstrate deep, hands-on expertise with Microsoft Azure data services and their application in large-scale, product-centric environments. Design and evolve segmentation and data platform architectures leveraging Azure Data Fabric concepts , ensuring interoperability, governance, and reuse across domains. Apply strong architectural judgment across core Azure data products, including data ingestion, storage, processing, analytics, and activation layers. Optimize designs across cost, performance, latency, and scalability , using Azure-native capabilities and patterns. Ensure secure-by-design implementations aligned with Azure identity, access, encryption, and compliance controls. Partner with enterprise architecture, cloud, and security teams to ensure Azure data platform decisions align with broader enterprise strategy while preserving team autonomy. Stay current on Azure data platform evolution and proactively assess new capabilities for business value, not novelty. Business Partnership & Communication Serve as a trusted technical partner to Customer and Commercial stakeholders. Communicate segmentation concepts, assumptions, and limitations in clear business language.