Director, Engineering (Data and Intelligence Platform)

Responsibilities

• Lead engineering teams through coaching, mentorship, performance management, and career development.
• Recruit, develop, and retain engineering talent to strengthen organizational depth and capability.
• Align quarterly and long-term technical roadmaps with enterprise, product, and platform strategies.
• Partner with product, architecture, and data leaders to guide technical design and dependency management.
• Establish engineering standards and best practices to support quality, security, scalability, and operational excellence.
• Lead technical risk assessment, mitigation planning, and resolution of complex technical challenges.
• Oversee delivery goals, Agile execution, and cross-team coordination for complex initiatives and programs.
• Guide resource allocation and priority setting in partnership with engineering and product leaders.
• Communicate progress, risks, and outcomes with client teams and executive leadership.
• Champion cross-domain collaboration, knowledge sharing, process improvement, and enterprise alignment.
• Drive modernization of data and intelligence platforms through cloud-native architectures, automation, and platform engineering practices.
• Support the development of trusted, governed, and reusable enterprise data assets that accelerate innovation and business value.
• Define and monitor metrics that measure platform health, adoption, reliability, engineering productivity, and operational maturity.

Qualifications

• Relevant degree preferred. Advanced degree preferred.
• 7 or more years of relevant experience required.
• Demonstrated success operating in a matrixed environment and aligning technical decisions with strategic goals required.
• Experience leading engineering teams and developing technical talent required.
• Experience building, scaling, or operating enterprise platform, data, analytics, or shared services engineering teams required.
• Experience developing and executing technical roadmaps aligned with business and product strategies required.
• Experience delivering enterprise-scale solutions within public cloud environments, preferably Microsoft Azure required.
• Strong understanding of modern data architectures, distributed systems, platform engineering, and cloud-native engineering practices required.
• Experience with Databricks, lakehouse platforms, enterprise data platforms, or similar technologies preferred.
• Experience with AI/ML, analytics platforms, data products, knowledge management, or generative AI initiatives preferred.
• Experience driving DevOps practices, Infrastructure as Code, CI/CD capabilities, observability, and platform automation preferred.
• Experience in healthcare, SaaS, or other regulated industries preferred.
• Strong leadership, communication, coaching, and stakeholder management skills.

Pay

The current salary range for this role is $135,200.00 to $236,600.00. This position is also incentive eligible.

Schedule

Details on the schedule are not specified in the job posting.