Software Engineering Group Manager - Finance Experience

The Coca-Cola Company•Atlanta, GA

4d•$202,000 - $229,000

About The Position

The Software Engineering Group Manager, Finance Experience, leads multiple engineers across full-stack, front-end, and back-end disciplines to deliver customer-facing and internal products in a product operating model. The role partners closely with Product, Design, Data, Architecture, Platform, and enterprise technology teams to shape strategy, build durable platforms, guide technical direction, and deliver measurable outcomes. Finance Experience products support business capabilities including commercial agreements, customer financial planning, forecasting, performance management, billing, reimbursements, and financial operations. The role helps shape products and platforms involving sophisticated business logic, complex workflows, enterprise integrations, data, and user experiences, balancing speed and innovation with the reliability, accuracy, security, and scalability required for financial operations. The manager develops engineering teams, raises engineering standards, guides architecture and delivery decisions, and contributes to product direction and technical practices. The role operates within a dedicated cross-functional Product, Design, and Engineering team that is empowered to solve problems, accountable for outcomes, collaborative from discovery through delivery, and continuously learning from data and customer insight.

Requirements

10+ years of software engineering experience, including designing, building, and delivering production-grade applications.
3+ years of people management experience leading and developing software engineers.
Strong technical foundation across modern application architectures, full-stack development, APIs, distributed systems, and cloud technologies.
Experience setting technical direction and guiding architectural decisions across multiple applications, services, or engineering teams.
Experience designing and integrating applications within complex enterprise technology environments.
Demonstrated ability to establish engineering practices across code quality, testing, CI/CD, observability, security, and reliability.
Experience partnering closely with Product Management and Design to shape solutions and deliver measurable outcomes.
Strong technical judgment and ability to balance business needs, user experience, architectural considerations, and delivery trade-offs.
Proven ability to develop engineering talent, build effective teams, and lead through influence.
Excellent communication and collaboration skills across technical, business, and executive audiences.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Must be currently authorized to work in the United States on a full-time basis and must not require Coca-Cola sponsorship to continue working legally in the United States.

Nice To Haves

Experience building digital products supporting Finance, Commercial, or other complex enterprise business processes.
Familiarity with financial technology ecosystems, including ERP, CRM, billing, planning, or financial management platforms.
Experience with complex enterprise integrations, data-intensive applications, API architectures, or event-driven systems.
Understanding of engineering considerations for financial applications, including data integrity, security, auditability, and controls.
Experience working with modern cloud and data platforms, including data pipelines, event streaming, and distributed architectures.
Experience applying automation, advanced analytics, or AI to enterprise applications and business workflows.
Experience leading multiple cross-functional engineering teams in an outcome-focused product environment.

Responsibilities

Lead, coach, and develop engineers across full-stack, front-end, and back-end disciplines.
Build and grow high-performing engineering teams, attracting talent and developing technical and leadership capabilities.
Create an environment of trust, ownership, collaboration, and continuous learning.
Provide technical guidance and mentorship while empowering engineers and technical leads to make sound decisions.
Establish clarity on engineering ownership, accountability, and decision-making across teams.
Guide technical direction and architectural decisions across applications, services, APIs, integrations, and supporting platforms.
Partner with Architecture, Platform, Data, and other engineering teams to design scalable, secure, reliable, and maintainable solutions.
Bring technical judgment to complex workflows, data relationships, and enterprise system interactions.
Establish engineering standards for system design, code quality, testing, integration patterns, and technical documentation.
Evaluate emerging technologies and architectural approaches, identifying opportunities to simplify solutions and create value.
Make pragmatic trade-offs among speed, performance, scalability, maintainability, complexity, and cost.
Balance near-term product delivery with long-term technical health and architectural evolution.
Partner with Product Management, Design, and Data to understand user needs, frame problems, and shape product direction.
Contribute engineering expertise during discovery by exploring technical possibilities, challenging assumptions, and helping identify effective solutions.
Translate product direction into clear technical approaches and guide execution across multiple teams, services, and applications.
Coordinate technical dependencies and collaborate across organizational boundaries to support cohesive end-to-end solutions.
Enable iterative delivery, learning from real-world feedback, and continuous product improvement.
Communicate technical decisions, trade-offs, risks, and progress clearly to engineering, product, and business stakeholders.
Keep engineering efforts focused on meaningful user and business outcomes.
Establish and reinforce practices including CI/CD, automated testing, observability, and secure software development.
Guide development of reliable, resilient applications with appropriate availability, performance, and operational support standards.
Champion data integrity, security, privacy, auditability, and technical risk management.
Partner with enterprise technology teams to align with architecture, security, and operational standards.
Use engineering metrics and operational insights to improve quality, delivery effectiveness, system performance, and cost efficiency.
Encourage thoughtful automation, reusable capabilities, and continuous improvement to increase engineering effectiveness.