Date Posted:

2024-10-02

Country:

United States of America

Location:

VA543: 22270 Pacific Blvd, Dulles 22270 Pacific Boulevard Building CC5, Sterling, VA, 20166-6924 USA

Position Role Type:

Hybrid

You have been redirected to RTX’s career page as we have recently transitioned from RTX to become a standalone company, which provides us with greater autonomy and opportunities for growth. As a prospective employee of Nightwing, you’ll have the chance to contribute to our continued success and shape the future of our cybersecurity, intelligence, and services offerings.

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets.

We are seeking an Data Operations Manager. This role is essential to foster the adoption of Data Mesh principles across the organization by advocating for decentralized data ownership, helping domain teams become proficient in creating and managing data products, and promoting a self-serve data platform culture. The Enabling Team Lead will act as a trusted advisor and guide domain teams in their journey toward data autonomy, ensuring they are equipped with the right tools, practices, and understanding to excel in a federated data ecosystem.

Key Responsibilities:

Data Mesh Advocacy: Act as an internal consultant to educate and promote Data Mesh principles, helping domain teams transition to data-as-a-product thinking and decentralized data ownership.

Support Domain Teams: Temporarily embed within domain teams to understand their needs, establish learning environments, and provide expertise on data analytics and self-serve platform usage without directly creating data products.

Upskilling & Training: Lead efforts to upskill domain team members in data analytics, engineering, and product development, ensuring they can operate independently within the Data Mesh framework.

Develop Learning Materials: Create and share best practices, tutorials, walking skeletons, and other learning resources to support teams, fostering continuous knowledge sharing across the organization.

Cross-team Collaboration: Partner with data engineering, analytics, and governance teams to ensure alignment in the adoption of Data Mesh principles and self-serve platform capabilities.

Mentorship: Provide guidance and mentorship to team members, ensuring a consistent understanding of Data Mesh methodologies and fostering a collaborative learning culture.

Self-serve Platform Promotion: Advocate for and guide the use of the organization's self-serve data platform, ensuring that domain teams are fully equipped to manage their data pipelines, products, and governance responsibilities.

Change Management: Assist in change management efforts as the organization adopts Data Mesh, providing thought leadership and troubleshooting to overcome adoption challenges.

Required Qualifications:

5+ years of experience in data analytics, data product development, or data engineering, with a strong focus on delivering impactful business insights through data visualizations and dashboards.

2+ years of experience in leading or guiding teams in developing data products, particularly analytics and visualization-driven products, focusing on data storytelling and decision-making support.

Deep understanding of data product lifecycle, including data sourcing, data transformation, and delivering analytics-driven insights using tools like Power BI, Tableau, or similar visualization platforms.

Strong understanding of Data Mesh principles, with practical experience in data-as-a-product thinking, decentralized ownership, and self-serve data analytics platforms.

Experience with cloud-based data platforms (AWS, GCP, Azure), data pipelines, and visualization frameworks that allow for scalable and maintainable data products.

Proficiency in modern data visualization and business intelligence tools (e.g., Tableau, Power BI, Looker), with hands-on experience in creating impactful, user-centric visualizations.

Strong communication and mentoring skills, with the ability to translate complex data analytics concepts to non-technical team members and stakeholders.

Proven adaptability in collaborating with domain teams across varied business functions, helping them develop and deliver their own data products and insights.

Desired Qualifications:

Familiarity with self-serve data platforms and modern data engineering tools like Apache Spark/Iceberg, Presto/Trino, Dremio, dbt etc.

Experience with ETL processes, data pipelines, and governance frameworks in a data-driven organization.

Knowledge of big data architectures and cloud-native data solutions, preferably in multi-cloud environments (AWS, Azure, GCP).

Certifications in Data Engineering, Cloud Architecture, or related disciplines are a plus.

Experience in change management related to data strategy and governance in large, complex organizations.

Education:

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.

Advanced degrees (Master’s or Ph.D.) in relevant disciplines are a plus.

Security Clearance:

Must be a US Citizen with the ability to obtain security clearance.

Previously part of a leading Fortune 100 company and headquartered in Dulles, VA; Nightwing became independent in 2024 but continues to support the nation’s most mission impactful initiatives.

When we formed Nightwing, we brought a deep set of credentials and an unfaltering commitment to the mission. For over four decades, our team has been providing some of the world’s most technically advanced full-spectrum cyber, data operations, systems integration and intelligence support services to the U.S. government on its most important missions.

At Nightwing, we value collaboration and teamwork. You’ll have the opportunity to work alongside talented individuals who are passionate about what they do. Together, we’ll leverage our collective expertise to drive innovation, solve complex problems, and deliver exceptional results for our clients.

Thank you for considering joining us as we embark on this new journey and shape the future of cybersecurity and intelligence together as part of the Nightwing team

The salary range for this role is 105,000 USD - 221,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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