Executive Director, Engineering - Allergan Aesthetics

Responsibilities

• Own delivery, execution, and outcomes across multiple engineering teams, ensuring alignment to organizational objectives, key results, and business priorities.
• Lead and develop engineering managers, enabling them to effectively run their teams, grow their people, and deliver high-impact results.
• Build a high-performing engineering organization by driving clarity of accountability, strong operating rhythms, talent development, and a culture of continuous improvement.
• Partner closely with product, architecture, data, security, and business stakeholders to shape strategy, define roadmaps, and translate priorities into executable plans.
• Oversee the design, development, and operation of backend data services, APIs, pipelines, and data products, ensuring scalability, reliability, maintainability, and performance.
• Drive technical and architectural decision-making in partnership with architects and senior engineers, ensuring solutions align with enterprise standards and long-term business needs.
• Establish and improve engineering processes across planning, estimation, prioritization, execution, dependency management, and release delivery.
• Ensure visibility into portfolio health through clear communication of plans, risks, milestones, status, and outcomes to both technical and non-technical audiences.
• Champion engineering excellence by promoting modern software development practices, code quality, test automation, observability, incident management, and operational readiness.
• Oversee production reliability through effective monitoring, logging, alerting, and response processes, ensuring teams proactively identify and resolve issues.
• Ensure strong data governance and engineering discipline across systems, including data quality, security, privacy, and compliance with applicable standards and regulations.
• Partner with leadership on organizational planning, staffing strategy, succession planning, and resource allocation across teams and priorities.
• Coach leaders and teams through change, helping the organization scale effectively while maintaining engagement, accountability, and delivery momentum.
• Stay current on industry trends, emerging technologies, and engineering best practices, and drive thoughtful adoption where it creates business value.

Required Experience & Skills

• BS or MS in Computer Science, Engineering, or a related field; or equivalent practical experience.
• 10+ years of software engineering experience, including strong depth in backend and data engineering domains such as APIs, distributed systems, data pipelines, and platform infrastructure.
• 4+ years of engineering leadership experience, including managing engineering managers and leading multiple teams or functional areas.
• Proven experience building and scaling high-performing engineering organizations, including hiring, coaching, performance management, and leadership development.
• Demonstrated success leading complex technical programs across multiple teams, with accountability for delivery, resource planning, and business outcomes.
• Strong experience developing production-grade applications using technologies such as Python, JavaScript, TypeScript, and Node.js.
• Experience designing and scaling data APIs, microservices, event-driven systems, and distributed architectures.
• Deep understanding of data engineering concepts including data warehousing, data pipelines, data integration, and data product development.
• Strong working knowledge of SQL and NoSQL technologies such as PostgreSQL, Snowflake, and DynamoDB.
• Experience with cloud-native platforms and modern engineering tooling, including AWS, Git, Terraform, CI/CD pipelines, Docker, Kubernetes, and serverless technologies such as Lambda, SQS, and SNS.
• Experience establishing strong engineering quality practices, including unit, integration, end-to-end, load, and security testing strategies.
• Strong communication and stakeholder management skills, with the ability to influence across technical and business functions and translate complex concepts into clear decisions and action.
• Strong operational leadership skills, including incident management, reliability practices, and service ownership.
• Demonstrated ability to balance strategic thinking with hands-on technical judgment and pragmatic execution.

Preferred Qualifications

• Experience with technologies such as NestJS, FastAPI, PostgreSQL, Snowflake, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, Datadog, and PagerDuty.
• Experience leading platform, data, or backend engineering organizations in fast-paced, product-driven environments.
• Familiarity with governance, compliance, and security considerations in regulated environments.
• Experience driving organizational transformation, engineering maturity, and platform modernization initiatives.

Additional Information

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