Senior Director of Sales (711205)

1. Designing mock-ups of data science and data analytics capabilities of the SigView platform including scalable data processing pipelines, transformations, aggregations, and analytics using Python, PySpark, SQL, and JSON schemas.
2. Developing presentations to showcase various use cases of SigView and Sigmoid products.
3. Building and maintaining professional customer relationships and identifying ways in which Sigmoids technology can fit the business needs of existing clients.
4. Collaborating with the Product/Engineering teams to mold updates and feature sets for the product to fit client requests and needs.
5. Engaging with clients to understand the business problems and underlying reasons for client issues, and generating proposals for how existing features within the Sigmoid product line can be used to solve those problems.
6. Creating trade models and promotional demos using Python, Tableau, React.JS, and Angular.JS.
7. Collaborating with the Product, Engineering, and Data Science/Analytics teams to build appropriate data and analytical reports that provide insight into performance metrics for existing and new clients.
8. Handling big data projects and conducting technical evaluations for existing systems, which entail Data Ingestion, Data Validation, Data Governance, and ETL processes using Spark, Kafka, Airflow, Terraform, Parquet, Databricks, and Snowflake.
9. Gathering and coordinating information regarding Data Ingestion, Data Cataloging, and Data Governance from client-side for Sigmoids engineering teams to develop and improve features.
10. Working with clients to develop the scope, goals, and timelines of projects to create an effective product/project roadmap.
11. Meeting with clients and sales teams to gather feature requirements, prioritize the requirements, understand business problems, and analyze how Sigmoids products and tools can be used to solve those problems.
12. Identifying applications of SigView and Sigmoid products to client issues and managing multiple client project plans and delivery of IDMS (Intelligent Driver Monitoring System) platform.
13. Managing and maintaining relationships with external and internal stakeholders and presenting technical solutions in easy-to-understand ways for client stakeholders.
14. Preparing detailed work breakdown structures in JIRA to track project progress with clients, and using managerial expertise on embedded system platforms, computer vision and AI algorithms, AWS services and platforms when working with the Sigmoid technical teams to update and adjust plans as needed.

May telecommute.

Requires 20% travel nationally and internationally to meet with offshore team and clients.

The position requires five (5) years (post degree, progressive) experience in the job offered or related. Experience must include:

1. Collaborating with sales teams to gather feature requirements, prioritizing these requirements, and creating a comprehensive product/project roadmap.
2. Preparing detailed work breakdown structures in JIRA for effective project tracking, team composition, and advanced judgment and decision-making.
3. Working as a Technical Program Manager and engaging with clients to create technical implementation roadmaps including resource planning, product enhancements, design, testing and go-live.
4. Managing and maintaining relationships with client-side stakeholders and internal stakeholders for effective functioning of the projects.
5. Using managerial expertise on embedded system platforms, computer vision and AI algorithms, AWS services and platforms to enable creation and delegation of tasks to various teams within a project group.
6. Managing multiple client projects with implementation and delivery of IDMS (Intelligent Driver Monitoring System) platform.
7. Managing digitalization projects.
8. Sourcing and Modeling previous, current, and forecasted operational performance information.
9. Use of Python, PySpark, SQL, and JSON schemas for developing efficient and scalable data processing pipelines, transformations, aggregations, and analytics.
10. Handling big data projects using Spark, Kafka, Airflow, Terraform, Parquet, Databricks, and Snowflake.

Please copy and paste your resume in the email body do not send attachments, we cannot open them and email them at candidates at (link removed) with reference #711205 in the subject line.

Thank you.