[Remote] Director – Data & AI Engineering

Note: The job is a remote job and is open to candidates in USA. Ascendion is a full-service digital engineering solutions company that delivers software platforms, cloud, data, and technology solutions for enterprise clients. The Director – Data & AI Engineering will lead the strategy, architecture, engineering, and delivery of modern data and AI platforms, including enterprise data transformation, cloud platforms, AI/GenAI initiatives, and customer advisory engagements.

Responsibilities

• Define and drive enterprise Data, AI, and Analytics strategy, architecture, and transformation roadmaps, leading modernization across data platforms, engineering, analytics, ML/AI, and GenAI
• Provide hands-on technical and architectural leadership across Snowflake, Databricks, and/or MS Fabric, leveraging AWS, Azure, and/or GCP to build scalable, secure, governed, and high-performing data platforms and Lakehouse architectures
• Lead enterprise AI and GenAI initiatives from strategy through production, leveraging LLMs, RAG, AI agents, vector databases, ML models, prompt engineering, MLOps, and responsible AI practices to deliver measurable business value
• Bring deep industry expertise in Banking/Financial Services, Healthcare, or Retail, translating industry-specific data, regulatory, operational, and customer challenges into high-value, ROI-driven data and AI solutions
• Serve as a trusted executive and customer advisor, leading C-suite discussions, technology strategy sessions, architecture reviews, workshops, and transformation roadmaps while driving alignment across business and technology stakeholders

Skills

• 15+ years of overall technology/engineering experience, with significant leadership experience in data and AI
• Proven experience leading large-scale Data Engineering, AI/ML, Analytics, or Cloud transformation programs
• Strong experience with at least one modern data platform: Snowflake/Databricks/MS Fabric
• Strong experience with at least one major cloud platform: AWS, MS Azure, Google Cloud Platform (GCP)
• Demonstrated expertise in data architecture, data engineering, cloud platforms, analytics, AI/ML, and/or GenAI
• Strong understanding of modern data architectures including Lakehouse, Data Mesh, streaming/event-driven architectures, data products, and cloud-native platforms
• Significant experience in at least one domain: Banking / Financial Services/ Healthcare / Life Sciences/Retail / Consumer
• Strong customer-facing experience with the ability to operate effectively with C-suite and executive stakeholders

Benefits

• Build the coolest tech for the world’s leading brands
• Solve complex problems - and learn new skills
• Master your craft with leading training programs and hands-on experience
• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) retirement plan
• Long-term disability insurance
• Short-term disability insurance
• 5 personal days accrued each calendar year
• Paid sick and safe time in accordance with applicable city/state laws
• 10-15 days of paid vacation time
• 6 paid holidays and 1 floating holiday per calendar year

Company Overview

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