VP, Engineering & Data Science at SparkCognition
The VP, Technology role is a key member of the executive team, responsible for establishing and shaping the technical strategy while leading and building our Software Engineering, Security, Data Science, and DevSecOps teams to execute in alignment with the company’s goals and objectives. An ideal candidate will have the potential to oversee a period of significant growth and specialization for the team. The teams’ mission is solving a broad range of real-world, customer problems using state-of-the-art Machine Learning and Artificial Intelligence technologies. The challenges span across automated model building, cyber security, industrial IoT, and natural language processing. You will lead the technical direction of the company, ensuring it is aligned with the vision of the President, and provide leadership in developing technical strategies and input into the long-range business and product planning from a technical perspective. This role will collaborate closely with the Executive Technical Team at our parent company, SparkCognition, Inc.
- Make informed, high quality decisions about the product strategy and work closely with Operations to shape our AI driven Government solution offerings
- Retain, attract, and lead a diverse, inclusive, and increasingly distributed engineering team that can meet and exceed company goals in service of our mission.
- Collaborate with Product Managers, Designers, and other stakeholders to continuously deliver value to our customers
- Champion engineering and operational excellence, with a mindset for raising the bar with continuous improvement
- Manage complex technical projects and drive them to outcomes in a highly collaborative environment
- Keep senior management informed of progress and any obstacles impeding the successful implementation of product roadmaps and other departmental activities thru online tracking systems, status reports, presentations, etc.
- Recruit, develop, and motivate multiple high performing teams of engineers and data scientists.
- Responsible for the long-range direction of program engineering/technology strategy.
- Direct the strategic design, acquisition, management, and implementation of program-wide technology and products.
- Provide a clear vision of where the SGS solutions and technology will be over the next 12, 18, and 24 months
- Masters’ in Computer Science, Statistics, Physics, Data Science, Engineering or related field
- 7+ years in an Engineering or Data Science leadership role, preferably working on a Big Data and/or SaaS product directly with the US Government
- Experience with distributed computing, such as Hadoop, Spark, or an MPP environment
- Deep understanding of the product life cycle as it relates to startup software development
- Demonstrated success in working with Product and Sales teams to provide capacity planning for the business
- Strong verbal and written communication skills, and the ability to summarize technically complex information for a non-technical audience
- Strong can-do attitude, thrives in a dynamic, fast paced environment
- Must be a hands-on leader who will roll up their sleeves when needed and jump in to help others
- Ability to obtain a US security clearance and be a U.S. Citizen
- PhD in Computer Science, Statistics, Physics, Data Science, Engineering or related field
- Strong understanding of the Government customer base and architecture infrastructure
- Projects a professional image and strong business acumen during customer interactions
- Knowledge of natural language processing, IOT and edge computing
- Experience with developing application on full stack of HTTP, JSON, REST, Angular JS, Java/C#, Python, SQL and no-SQL databases
- Expertise in R, Python or similar Machine Learning languages/packages
- Experience with Machine Learning, NLP, Big Data Analytics, and Graphing techniques a plus
- TS/SCI security clearance
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)