Innovation Tech Lead

• Posted 4 hours ago • Updated 4 hours ago
Full Time
On-site
Company Branding Image
Fitment

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Job Details

Skills

  • Innovation
  • Data Science
  • Communication
  • Data Architecture
  • Strategic Leadership
  • Team Leadership
  • Accountability
  • Collaboration
  • Analytics
  • Machine Learning Operations (ML Ops)
  • DevOps
  • Roadmaps
  • Testing
  • Reliability Engineering
  • Scalability
  • Productivity
  • Data Engineering
  • IT Management
  • Cloud Computing
  • Amazon Web Services
  • Google Cloud
  • Google Cloud Platform
  • Fluency
  • Extract
  • Transform
  • Load
  • Training
  • Continuous Integration
  • Continuous Delivery
  • Machine Learning (ML)
  • Software Engineering
  • Python
  • Software Architecture
  • React.js
  • Microservices
  • Management
  • Apache Velocity
  • IT Architecture
  • Writing
  • Coaching
  • Computer Science
  • Data Governance
  • Artificial Intelligence
  • Evaluation
  • Generative Artificial Intelligence (AI)
  • Use Cases
  • Retail
  • Marketing Analytics
  • SAP BASIS
  • Agile
  • Application Development
  • Budget
  • Business Process
  • Change Management
  • Decision-making
  • Financial Forecast
  • Leadership
  • Microsoft Azure
  • Microsoft Office
  • Negotiations
  • Process Improvement
  • Risk Assessment
  • Risk Management
  • Software Development
  • Software Development Methodology
  • SQL
  • Vendor Management
  • Waterfall

Summary

Role overview

We are seeking a Technical Lead to define and drive the end-to-end technical vision, architecture, and delivery for a priority business domain and its portfolio of enterprise digital products within The Coca-Cola Company's globalDigital organization. This isa high-impact,highly visible role at the intersection of software engineering, data science, machine learning, and product delivery. You will serve as the senior-most technical voice for the priority product domain and act as a strategic thought partner to Product Leadership and senior business stakeholders, as well as leading the day-to-day work.

The ideal candidate is a seasoned engineering leader who combines deep technical depth with judgment and communication skills to translate strategic product decisions into direction for engineers. You have built and scaled enterprise platforms in cloud environments, are fluent in modern data architecture, and know what it takes to take AI-powered products from concept to global enterprise deployment.

What You'll Do for Us

  • Strategic leadership:define and communicate the technical vision, architecture principles, and engineering roadmap for the priority domain, ensuring alignment with businessobjectives. Make key technical trade-off decisions that balance speed, scalability, maintainability, and long-term platform health

  • Technical delivery and resourcing:own the technical backlog for the priority domain and direct the day-to-day resourcing and capacity of the engineers supporting it. Prioritize technical work, assign engineers to initiatives, balance capacity across competing priorities, and ensure delivery commitmentsremainon track while proactively identifying and mitigating delivery risks

  • Day-to-day team leadership:provide technical leadership to the engineering team by setting clear direction,facilitatingtechnical design discussions, conducting code reviews, and promoting engineering best practices. Remove technical blockers, foster collaboration across teams, support engineers in solving complex challenges, and cultivate a culture of continuous learning, accountability, and high engineering standards

  • Technical implementation:guide the design and implementation of technology solutions across the priority domain, ensuring engineering teams deliver secure, scalable, and production-ready applications, services, APIs, data pipelines, and AI/ML capabilitiesin accordance withenterprise architecture and engineering standards

  • Collaboration:serveas the cross-squad technical integration point for Analytics, Data and ML, Application Engineering,MLOps, and DevOps squads, resolving dependencies and unblocking delivery. Partner closely with the Product Manager as the technical counterpart for the domain, translating the product roadmap and priorities into sound technical plans and jointly owning trade-offs between scope, speed, and technical quality

  • Operational reliability:champion engineering best practices by driving code quality, testing, observability, security, performance, and operational resilience. Use engineering metrics and production insights to continuously improve system reliability, scalability, and developer productivity as products expand across markets

Requirements & Qualifications

  • 10+ years of experience in software engineering, data engineering, or technical leadership roles

  • Demonstrated experience building and scaling enterprise platforms that incorporate ML models in production, ideally in cloud-native environments (Azure strongly preferred; AWS or Google Cloud Platform acceptable)

  • Deep fluency across the modern data and ML stack: data pipeline architecture, ML model training and serving infrastructure,MLOpspractices, and CI/CD for both software and ML components

  • Strong software engineering foundation including hands-on experience with Python, familiarity with front-end and back-end application architecture (React, REST/GraphQLAPIs, microservices), and code reviewproficiency

  • Proven ability to lead technical integration across multiple parallel engineering workstreams, managing dependencies, resolving architectural conflicts, andmaintainingdelivery velocity

  • Track recordof communicating technical architecture and trade-offs to senior non-technical stakeholders, including VP and C-suite audiences

  • Experience writing and reviewing production-grade code; comfort going hands-on when squads need it

  • Demonstrated willingness to remain hands-on when it matters most, rolling up your sleeves to tackle complex challenges while coaching others to deliver at a high standard

  • Bachelor's orMaster's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience

Preferred Qualifications

  • Experience building platforms for global, multi-market deployment including datapermissioningarchitecture and regional data governance considerations

  • Exposure to AI and generative AI platform architecture, including evaluation and deployment of generative AI components for enterprise use cases

  • Background inConsumer PackagedGoods, retail, or marketing analytics environments

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Agile Methodology, Application Development, Budgeting, Business Processes, Business Value Creation, Change Management, Decision Making, Financial Forecasting, Leadership, Long Term Planning, Microsoft Azure, Microsoft Office, Negotiation, Process Improvements, Risk Assessments, Risk Management, Software Development, Software Development Life Cycle (SDLC), Strategic Alignment, Strategic IT, Structured Query Language (SQL), Vendor Management, Waterfall Model

Pay Range:
United States: 202,000 - 229,000 USD


Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Location(s):
United States of America
City/Cities:
Atlanta

Travel Required:
00% - 25%

Relocation Provided:
No

Job Posting End Date:
September 18, 2026

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 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. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

Pay Range:: 0 - 0 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:30
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: coke
  • Position Id: R-145106
  • Posted 4 hours ago

Company Info

About The Coca-Cola Company

On May 8, 1886, Dr. John Pemberton brought his perfected syrup to Jacobs' Pharmacy in downtown Atlanta, where the first glass of Coca‑Cola was poured. In its first year, about nine Coca-Cola drinks were served per day.

Today, The Coca-Cola Company, with numerous brands sold across more than 200 countries and territories, serves 2.2 billion drinks per day. We own 32 billion-dollar brands across several beverage categories worldwide. Our global portfolio of beverage brands includes the following:

• Sparkling Soft Drinks: Coca-Cola, Diet Coke/Coca-Cola Light, Coca-Cola Zero Sugar, Fanta, Fresca, Schweppes (owned by The Coca-Cola Company in certain countries other than the United States), Sprite and Thums Up
• Water, Sports, Coffee and Tea: Aquarius, Ayataka, BODYARMOR, Ciel, Costa, Crystal, Dasani, Fuze Tea, Georgia, glacéau smartwater, glacéau vitaminwater, Gold Peak, I LOHAS, Powerade and Topo Chico
• Juice, Value-Added Dairy and Plant-Based Beverages: Core Power, Del Valle, fairlife, innocent, Maaza, Minute Maid, Minute Maid Pulpy, Santa Clara and Simply

Our strong and stable bottling and distribution system helps us capture growth by manufacturing, distributing and selling existing, enhanced and new innovative products to consumers throughout the world.

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