Senior Manager, Workforce Planning Data Lead (Remote)

RTX

1d•Remote

About The Position

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA. The following position is to join RTX Corporate: RTX is seeking a skilled and experienced Senior Manager, Workforce Intelligence (Operational Workforce Planning Data Lead) to join our team.

Requirements

Typically requires a University Degree or equivalent experience and minimum 10 years prior relevant experience, or an Advanced Degree in a related field and minimum 7 years experience.
Prior experience as a Data Architect or Data Engineer, with a strong focus on Snowflake and data integration technologies.
Hands-on experience with middleware systems for data exchange and process integration.
Prior experience in SFTP protocols for secure file transfer and data processing.
Prior experience implementing and managing data governance frameworks and data quality controls.
Knowledge of regulatory compliance and best practices for data security and privacy.
Project Management skills, including leading projects, planning, and delivering within deadlines.
Prior experience utilizing problem-solving and analytical skills, with a keen eye for detail.
Knowledge of ETL/ELT frameworks, data processing workflows, and high-volume data environments.

Nice To Haves

Work on the integration of large data sets with enterprise performance management (EPM) tools like Workday Adaptive Planning, streamlining financial and operational planning processes.
Excellent communication and coordination skills to work effectively with technical and non-technical stakeholders.
Certification in Snowflake or relevant cloud data services.
Project Management Certification (e.g., PMP, PRINCE2, or Agile methodologies).
Experience with scripting languages (e.g., Python, Shell scripting) for automation and data manipulation.
Familiarity with API integrations and microservices architecture.
Experience integrating large data sets with enterprise performance management tools like Workday Adaptive Planning or similar platforms.
Knowledge of cloud platforms (such as AWS, Azure, or GCP).

Responsibilities

Design, develop, and implement data architecture solutions to support business intelligence, analytics, and operational data needs.
Build and optimize scalable data pipelines using Snowflake and middleware platforms, ensuring robust data integration and efficient storage solutions.
Manage secure data transfers using SFTP protocols while ensuring compliance with company and industry data protection standards.
Implement and enforce data governance policies, ensuring data accuracy, consistency, security, and compliance with regulatory requirements.
Develop and maintain data controls to ensure the integrity and reliability of data across systems and workflows.
Collaborate with cross-functional teams to gather and understand data requirements, translating them into actionable technical solutions.
Lead project management efforts for data-related initiatives, including project planning, timeline management, and stakeholder communication.
Coordinate with business and IT teams to ensure smooth project delivery, addressing risks and dependencies proactively.
Perform data modeling, schema design, and ETL/ELT development to ensure data accuracy and reliability.
Analyze and resolve data-related technical issues, ensuring system performance and scalability.
Create and maintain comprehensive documentation for data architecture designs, processes, governance policies, and integrations.
Stay up-to-date with emerging trends and technologies in data engineering, middleware, and cloud platforms to recommend and implement improvements.