Sr Principal Data Scientist-19908

Northrop Grumman•Roy, UT

3d•$135,000 - $202,600•Onsite

About The Position

The Defense Systems Sector Strategic Deterrence Systems Division is seeking a Senior Principal Data Scientist, located in Roy, UT. This role provides technical and delivery leadership for a business domain, building trusted data pipelines and data products that support program outcomes and downstream analytics. Relocation Assistance may be available. Mission: Own delivery and sustainment of data pipelines and data products for a specific business domain acting as the primary technical and delivery lead for the domain. Align domain work with program goals, cross-domain integration patterns, and platform standards.

Requirements

Bachelor's degree with 8+ years of relevant experience; or a Master's degree with 6+ years; or a PhD with 4+ years. In lieu of a formal degree, 4 additional years of relevant experience may be considered.
Must have the ability to obtain and maintain a U.S. Government DoD Secret security clearance, with the ability to obtain and maintain Special Access Program (SAP) approval within a reasonable period of time, as determined by the company to meet its business need.
3+ years leading technical design and delivery as a technical lead, domain lead, or equivalent technical owner for production data pipelines, data products, integration capabilities, or a sustained delivery workstream.
3+ years integrating data from multiple enterprise systems of record and working through data-model, process, schema, or dependency considerations across one or more business domains.
Demonstrated experience prioritizing build-versus-sustainment work, sequencing delivery, managing technical risk, and aligning domain delivery with stakeholder needs.
Demonstrated experience leading solution design and applying shared platform standards and non-functional requirements for reliability, performance, security, observability, and data quality.
Demonstrated experience mentoring engineers and communicating technical decisions, delivery risks, and tradeoffs to technical and non-technical stakeholders.

Nice To Haves

Master's degree or PhD in Data Science, Data Engineering, Computer Science, Software Engineering, Systems Engineering, Aerospace Engineering, or a related STEM discipline.
3+ years serving as a technical lead for data products, domain pipelines, or delivery work in aerospace, defense, or another highly regulated engineering or manufacturing environment.
3+ years building or operating pipelines using Apache Spark, Delta Lake, Apache Airflow, Kafka, Postgres, Databricks, or comparable technologies.
Experience integrating data from systems such as DOORS, CAMEO, CPLM, SAP, and Workday into analytical, operational, or data-platform capabilities, including managing source-schema evolution and integration impacts.
Experience aligning technical roadmaps, backlogs, and delivery plans with control accounts, earned-value baselines, program milestones, technical risk, and dependency sequencing.
Experience working across two or more business domains—including Systems Engineering, Program Management, or Design & Manufacturing—and contributing to cross-domain data models or integration patterns.
Experience operating data products across unclassified, CUI, air-gapped, or otherwise constrained environments.

Responsibilities

Own the domain data pipeline and data product roadmap and lead the domain data engineering team in executing it, ensuring it aligns with program objectives, control account plans, and cross-domain data architecture.
Prioritize and sequence the domain backlog (build and sustain) in collaboration with domain stakeholders, team leadership, and program leadership.
Lead domain-level solution design for pipelines and data products, ensuring designs leverage shared capabilities (frameworks, orchestration, observability, data quality) and conform to cross-domain data models.
Ensure domain pipelines meet non-functional requirements (reliability, performance, security, observability) and governance standards across the environments they run in (e.g., unclassified, CUI, and higher-side networks), including appropriate instrumentation, monitoring, and incident response practices.
Represent domain needs, constraints, and risks in cross-domain and platform planning discussions, influencing sequencing, scope, and technical risk mitigation.
Provide coaching and technical guidance to domain data engineers, domain observability, and pipeline ops roles, raising technical quality and consistency across the domain team.
Work closely with domain stakeholders and downstream analytics/data science teams to understand business needs, manage expectations, and communicate roadmap, status, and risks.
Collaborate with system-of-record owners to align domain pipelines with evolving business processes and data structures.
Coordinate with the engineering lead and execution lead on architecture decisions, sequencing of cross-domain work, and management of technical risks affecting the domain.

Benefits

Relocation assistance may be available
health insurance coverage
life and disability insurance
savings plan
Company paid holidays and paid time off (PTO) for vacation and/or personal business
overtime
shift differential
a discretionary bonus
Annual bonuses
Long Term Incentives (for VP or Director positions)