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DMARC Analyzer (Acq. by Mimecast) · 3 days ago

Director of AI Business Transformation Engineering & Architecture

Massachusetts, United States

Full-time

Hybrid

Lead/Staff, Director/Executive

$168K/yr - $252K/yr

5+ years exp

Mimecast is seeking a highly skilled and experienced Director of AI Transformation Engineering & Architecture to lead their efforts in AI transformation and AI/ML engineering. This role focuses on assessing and implementing AI tools, designing robust data pipelines, and collaborating with cross-functional teams to enhance AI capabilities and drive innovation across the organization.

AnalyticsInternet

Responsibilities

Assess & Recommend AI Tools: Evaluate and recommend AI tools, platforms, and frameworks, balancing the decision between building in-house solutions versus purchasing existing technologies

Data Pipeline & AI Architecture: Design and implement robust data pipelines that support the development and deployment of AI models, ensuring efficient data flow and accessibility. Work will include development on platforms such as Snowflake, dbt, Tableau, AWS AI-related technologies

Collaboration with AI & Data Science Teams: Partner with AI and data science teams to align on project goals, share insights, and drive innovation in AI Transformation

Collaboration with Data Engineers and IT: Work closely with data engineers and IT teams to ensure seamless integration and proper data flow across systems, facilitating effective AI model training and deployment

AI Infrastructure Deployment & Scaling: Oversee the deployment and scaling of AI infrastructure to support ongoing and future AI initiatives, ensuring high availability and performance

Performance Monitoring: Establish and maintain performance monitoring systems for AI models, ensuring they meet operational standards and continuously improve based on feedback and data analysis

AI Literacy: Collaborate with the team on championing AI Literacy at Mimecast using AI to achieve outsized returns in revenue and operational efficiency

Qualification

AI/ML engineeringData pipeline designCloud platformsData architectureProgramming languagesGenerative AIAnalytical mindsetLeadership abilitiesCommunication skills

Required

BA/BS in Computer Science, Data Science, Engineering, or a related field

Minimum of 5 years of experience in AI/ML and data engineering, with a strong focus on business value and increasing responsibility in leadership roles

Proficiency in programming languages such as SQL, Python, or R

Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)

Experience with cloud data platforms (e.g Snowflake, dbt, Fivetran)

Strong understanding of data architecture, data pipelines, and ETL processes

Experience with Generative AI and related technologies, a plus (eg. AWS Bedrock, Pinecone, OpenSearch, etc)

Proven track record of leading cross-functional teams and managing complex projects in a fast-paced environment

Strong analytical and problem-solving skills, with the ability to interpret complex data and make data-driven decisions

Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders