Senior Director, Data & AI Platform Engineering

Akumin

23h

About The Position

The Senior Director, Data & AI Platform Engineering will play a crucial role in building out our enterprise data platform to support analytics and AI. As Director, you will lead engineers who are responsible for delivering an exceptional platform engineering service. The ideal candidate will have the ability to transform ambiguous problems into practical solutions. They should be able to connect abstract concepts to business challenges and leverage technical debt to create strategic opportunities for our company. Collaboration with leaders from various business units, functions, and departments will be key in supporting and implementing data-driven decisions of the highest quality including Data Analytics, Infrastructure, and Security teams to ensure seamless coordination. Specific duties include, but are not limited to:

Requirements

Bachelor's Degree
12+ years of professional experience and 4+ years of management experience, with 5+ years managing Google based big data solutions
Experience with cloud data platforms is required
Deep knowledge of database systems, data modeling, and ETL/ELT processes
Hands-on experience working with and Mastery of CI/CD tools such as GitHub Actions, including their configuration, customization, and integration capabilities in progressively challenging roles
Strong proficiency in scripting languages such as Bash, Python, or Groovy for automation and customization of CI/CD workflows
Experience in seamlessly integrating containerization into CI/CD pipelines, registry management, and container orchestration platforms such as Kubernetes, Google DevOps including cluster setup, configuration, and management.
Strong working knowledge and hands on experience with Google Cloud including Functions, DLS, and others
Proficiency in infrastructure automation tools like Terraform, for provisioning and managing CI/CD infrastructure.
Excels in all facets of verbal and written communication; leads and inspires the team via open communication, effective listening, and strong collaborative networks; has excellent negotiation skills, is an expert coordinator, and has an ability to orchestrate change through influence.
Works effectively in the face of stress, ambiguity, difficult situations, and shifting priorities all while championing the long-term architectural view; understands the need to shift focus and priorities as required and successfully leads others through periods of change.
Travel may be required between 5-10%

Nice To Haves

Experience with machine learning, predictive analytics, and AI-driven personalization.
Familiarity with data privacy regulations (e.g., HIPPA) and best practices for data security.
Background in customer data (CDP) or identity resolution platforms is a plus.

Responsibilities

Lead and mentor a team of engineers, fostering a culture of collaboration, innovation, and excellence.
Provide guidance, support, and coaching to team members to ensure individual and team goals are met.
Manage performance evaluations, career development, and succession planning for the team.
Develop and execute a scalable data engineering strategy to support automation, personalization, and initiatives.
Design and oversee data architecture, pipelines, and ETL processes to ensure high performance, data accuracy, and reliability.
Ensure compliance with data governance policies, security standards, and regulatory requirements across all marketing data operations.
Develop and implement a strategic roadmap for technology initiatives within the CI/CD pipelines & Container platform domains.
Collaborate with stakeholders to understand business requirements and translate them into technology solutions that enhance employee experience.
Stay abreast of industry trends and emerging technologies to continuously improve and innovate our platform technology offerings.
Drive initiatives to enable self-service capabilities and automation across all supported technology areas.
Identify opportunities to streamline processes, reduce manual efforts, and increase efficiency through automation.
Optimize data pipeline performance and automate processes to improve speed, reliability, and cost-efficiency.
Develop a robust data infrastructure to support analytics teams in generating insights and visualizations that enhance decision-making in marketing.
Collaborate with analytics teams to standardize key metrics, KPIs, and dashboards, providing a unified view of performance.
Enable advanced analytics capabilities, such as predictive modeling and machine learning, to drive more precise analysis.
Manage relationships with technology vendors and service providers, ensuring alignment with organizational goals and objectives.
Evaluate vendor performance, negotiate contracts, and drive value-added partnerships to support our technology initiatives.
Lead and coordinate Enterprise License Agreements with vendors
Other duties as assigned by management.