Director of Implementation, Enterprise

The Implementation team is focused on integrating Altana’s platforms with customers to provide unique insight, business process integrations, and create mutual value.  We execute complex customer integrations to create, customize, tune, and retrain models for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy; and design and create technical integrations that create client value.  The Implementation team works closely with customers, as well as our internal engineering, data science, and product organizations.  

Responsibilities

• Managing successful customer software deployments and technical work streams from sale to post go-live, with the ability to effectively manage priorities, deliver on-time, and communicate effectively internally and with customers
• Be responsible for overall performance of a 4 - 9 person technical team – quality of delivery, software practices, and personnel development. 
• Become a power-user of the Atlas platform and API products, support customers in rapidly achieving value from the solution, and identify new use cases to address customer pain points
• Deeply understand the trade compliance/supply chain risk domain, Altana’s technology, and our customer base--and demonstrate effective communication and writing skills with respect to each 
• Lead firm-building activities (e.g, recruiting, knowledge building / domain expertise development, etc.)
• Collaborate with fellow engineers and data scientists across the organization

This position can be worked remotely, but you should be comfortable working primarily on New York time. Travel may be required to customer locations.

About You

• You have 10+ years of real-world professional experience with analytics, data science, software engineering or a similar technology related field
• You have a record of success in consultative/complex technical deployments, sales or otherwise client facing projects (where necessary, managing various stakeholder relationships to get consensus on solution/projects)
• You have been responsible for the strategy for technical delivery for several customer accounts from inception to maturity
• You have experience managing a technical team
• You are a self-starter who wants to get things done, can be relied on, and creates an environment data scientists and engineers want to work in
• You have experience managing machine learning and data engineering projects
• You have a record of ownership and delivery of projects with major organizational impact
• You have strong written and verbal communication skills
• BS or MS degree in Computer Science, Data Science, or equivalent experience

   Nice to have, but not required

• Experience with Python Machine Learning toolsets (Scikit-learn, Numpy, Pandas, Dedupe)
• Experience with container technologies like Docker and Kubernetes
• Working knowledge of cloud services like AWS or Azure

 Technologies we love

• Languages: Python, Spark
• Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS, Azure
• Datastores: Databricks, Elasticsearch, Postgres, Redshift, ArangoDB