Senior Manager, Software Engineer, Data Platform Segmentation

This job is with Coca-Cola, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve.

We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
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.
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.
Proactively surface data constraints, privacy considerations, and trade-offs to enable informed decisions.
Support external partner and vendor conversations as a technical authority when needed.
Governance, Privacy & Compliance
Ensure segmentation approaches comply with data privacy, consent, and regulatory…