Manager, Enterprise Data Platform

Intercontinental Exchange Holdings, Inc.; Atlanta (GA); On-site; USD 140,000 - 210,000; Full time

Job summary

Intercontinental Exchange, Inc. is seeking a Software Development Manager to lead the Enterprise Data Architecture team responsible for ICE Data Services' next-generation data platform.

You will mentor engineers, drive platform reliability, and partner with architecture, product, governance, QA, ML/AI, and business stakeholders to deliver scalable data solutions. This role demands strong people management, deep software/data engineering experience, and the ability to translate strategy into

Qualifications

• 8+ years in software engineering, data engineering, or platform engineering.
• 2+ years leading engineering teams with hiring and performance management.
• Experience managing enterprise-scale data platforms and orchestration.
• Strong practice in SDLC, Agile delivery, CI/CD, testing, and release management.
• Familiarity with data governance, metadata, lineage, and data contracts.
• Working knowledge of SQL, Python, data warehousing concepts, and modeling.
• Ability to work across architects, product, infrastructure, QA, data scientists, and business stakeholders.

Responsibilities

• Lead, mentor, and manage a team of software and data engineers responsible for enterprise data platform capabilities.
• Translate platform objectives into engineering roadmaps, delivery plans, milestones, and measurable outcomes.
• Deliver scalable, secure, maintainable data platform services including orchestration and pipelines.
• Partner with architecture, infrastructure, product, governance, QA, ML/AI, and business stakeholders.
• Establish engineering best practices for VCS, CI/CD, testing, code review, observability, and production support.
• Drive self-service platform capabilities with guardrails to reduce dependency on centralized teams.
• Champion data quality, metadata, lineage, schema governance, and data contracts.
• Manage risk, dependencies, resource planning, release readiness, and operational excellence.
• Recruit, hire, onboard, and retain engineering talent; support career development and succession.
• Create a culture of accountability, collaboration, and business-impact delivery.
• Escalate critical platform issues and communicate status to leadership.
• Represent priorities and outcomes clearly to senior leadership and cross-functional partners.

Skills

Software engineering

Data engineering

Leadership

CI/CD

Agile methodologies

Communication

Distributed systems

Kubernetes

Python

SQL

Education

Bachelor's/Master's in CS/Eng/IS/Data Science

Tools

Git

Jenkins

Jira

Confluence

Kubernetes

CI/CD tooling

Job description

Overview

Job Purpose

ICE Data Services provides global securities evaluations, reference data, and analytics designed to support financial institutions' and investment funds' valuation activities, securities operations, research, and portfolio management.

The Enterprise Data Architecture team is looking for a Software Development Manager to lead the engineering team responsible for building and operating ICE Data Services' next-generation enterprise data platform. This leader will manage engineers focused on scalable data orchestration, self-service data pipeline capabilities, data quality, governance, and platform services that enable analytics, ML, and AI workflows across the organization.

We are seeking a technically credible and highly organized engineering leader with strong people-management skills, a background in software or data engineering, and the ability to partner across architecture, infrastructure, product, governance, QA, and business stakeholder groups. This role is accountable for team execution, engineering quality, platform reliability, operational maturity, and the development of engineering talent.

Responsibilities

• Lead, mentor, and manage a team of software and data engineers responsible for enterprise data platform capabilities.
• Translate strategic platform objectives into clear engineering roadmaps, delivery plans, milestones, and measurable outcomes.
• Manage the delivery of scalable, secure, maintainable, and reliable data platform services, including orchestration, pipeline automation, testing frameworks, and reusable integration patterns.
• Partner with enterprise architecture, infrastructure, product, data governance, QA, ML/AI, and business stakeholders to align platform priorities with organizational needs.
• Establish and enforce engineering best practices for version control, CI/CD, automated testing, code review, observability, deployment readiness, and production support.
• Drive self-service platform capabilities that allow teams across the organization to create, deploy, and operate data pipelines with appropriate guardrails and reduced dependency on centralized engineering support.
• Champion data quality, metadata, lineage, schema governance, data contracts, and lifecycle management practices in partnership with governance and architecture teams.
• Manage technical risk, dependencies, resource planning, release planning, and operational readiness for platform initiatives.
• Recruit, hire, onboard, and retain engineering talent while supporting career development, performance management, and succession planning.
• Create a team culture focused on accountability, collaboration, engineering excellence, continuous improvement, and business-impact delivery.
• Serve as an escalation point for critical platform issues, operational incidents, delivery risks, and cross-team blockers.
• Communicate priorities, status, risks, and outcomes clearly to senior leadership and cross-functional partners.

Knowledge and Experience

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Engineering, or a related discipline.
• 8+ years of professional software engineering, data engineering, or platform engineering experience.
• 2+ years of experience leading or managing engineering teams, including performance management, hiring, mentoring, and delivery accountability.
• Experience managing teams responsible for enterprise-scale data platforms, distributed systems, workflow orchestration, shared platform services, or large-scale application infrastructure.
• Strong understanding of modern software engineering practices, including SDLC, Agile delivery, CI/CD, automated testing, code quality, release management, and production support.
• Familiarity with data engineering concepts such as pipeline orchestration, batch and real-time processing, data transformation, data quality frameworks, and testing strategies.
• Experience with containerized or Kubernetes-based platform environments, infrastructure automation, monitoring, alerting, and operational reliability practices.
• Working knowledge of SQL, Python, data modeling concepts, data warehouse design principles, and integration patterns for enterprise data systems.
• Understanding of data governance practices, including metadata management, lineage, schema governance, data contracts, entitlement considerations, auditability, and compliance-driven controls.
• Ability to work cross-functionally with architects, product managers, infrastructure teams, QA, data scientists, ML engineers, and business stakeholders.
• Strong communication skills with the ability to explain complex technical topics clearly to technical and non-technical audiences.
• Demonstrated ability to prioritize competing demands, manage delivery risk, make pragmatic technical decisions, and operate effectively in a fast-paced environment.
• Experience with modern development tools such as Git, Jenkins or other CI/CD platforms, Jira, Confluence, and related engineering workflow systems.
• Prior experience supporting AI/ML data workflows, feature engineering pipelines, streaming architectures, or self-service data platform capabilities is preferred.
• Experience leading geographically distributed teams is preferred.

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.