Staff Software Engineer - Thread Lead

About the role

This role requires a self-motivated professional with proven experience collaborating in cross functional Integrated Product Teams (IPTs). The ideal candidate will be a technology visionary and strategist who can lead the end to end lifecycle of data centric initiatives spanning data science, architecture, storage, analytics, and dissemination.

Responsibilities

• Provide collaborative technical leadership that drives the maturation and evolution of data solutions across a portfolio of programs, contracts, and operating units, even when requirements conflict.
• Act as the Subject Matter Expert for all aspects of data acquisition, harmonization, processing, storage, analysis, and dissemination across diverse data formats, technologies, and network/distribution protocols.
• Translate raw sensor and telemetry feeds into actionable information that supports mission critical decision making.
• Provide technical leadership and serve as the lead architect for all phases of the product lifecycle, with immediate focus on developing off site storage and extensible data dissemination solutions.
• Define enterprise level strategy and support expansion of the mission set, emphasizing the conversion of raw data into actionable information.
• Advise senior leadership on analytics value opportunities and roadmap alignment.
• Collaborate with end user and customer teams to ensure solutions meet real world needs and incorporate direct feedback.
• Lead technical execution of capabilities and products, owning requirements, design, and serving as the primary point of contact for reach back support.
• Support risk mitigation and proactively generate opportunity driven enhancements.
• Decompose the solution backlog, prioritize epics and user stories, act as the approval authority for feature completion, and define the Definition of Done.
• Facilitate knowledge share and management activities across data acquisition, analysis, and dissemination disciplines.
• Develop and govern data standards to ensure consistency, quality, and interoperability across programs.

Requirements

The selected candidate will be required to work full-time, on-site at our facility. There is no remote / hybrid / telework available for this position. Travel up to 25% may be required.

Qualifications

• Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 12 years of related engineering experience; OR a Master’s degree in a STEM discipline and 10 years of related engineering experience; OR a PhD in a STEM discipline and 8 years of related engineering experience.
• Demonstrated experience being a technical project lead and Product Owner accountable to the outcome of the solutions developed.
• Demonstrated understanding of communications technology, data acquisition, storage, processing and analysis technologies, including big data challenges and solutions.
• General understanding of network protocols and data dissemination strategies.
• Demonstrated ability to stay abreast of developments at the intersection of data science and technology.
• Skilled at defining, motivating and driving change across multiple contracts/business areas with a dual focus on supporting the end-user mission and ensuring business value.
• Advanced technical knowledge of data science and data architecture.
• Proven understanding of statistics, structured and unstructured data analysis, predictive modeling techniques and data visualization as well as a good command of emerging methodologies like Artificial Intelligence.
• Recognized experience as a thought leader and innovator in the development of new tools, methodologies and problem-solving approaches.