Chief Data Architect

About the role

DCCA is a veteran-owned IT business specializing in providing innovative solutions to a variety of government agencies and commercial enterprises since 1982. DCCA is proud to offer career growth opportunities and a competitive compensation and benefits package.

Responsibilities

• Experience in developing enterprise data architectures, ensuring data quality, security, and compliance with organizational policies and industry standards, utilizing emerging technologies such as data analytics, machine learning, and cloud-based data storage.
• Experience with how to implement a data mesh architecture across a dynamic workforce.
• Providing subject matter expertise on data policy and governance materials;
• Drafting, editing, and facilitating the coordination of data policy and governance materials subject to Sponsor review and approval;
• Drafting, editing, and facilitating the coordination of processes for ODNI data sharing, analysis, and interoperability;
• Identifying and supporting opportunities to implement technologies that support data services and tools;
• Collaborating with Sponsor stakeholders, including organizing and facilitating governance activities related to governance boards and working groups, as necessary;
• Identifying opportunities and support initiatives to improve data acumen among the Sponsor workforce;
• Developing and implementing an ODNI Enterprise Data Architecture and ensuring its integration with the overall ODNI and IC enterprise architectures;
• Developing and implementing ODNI Enterprise Data Standards and metrics to identify and improve data normalization across the organization.

Requirements

• Required Education / Certifications: Bachelor’s Degree or equivalent experience and seven to twelve years of related experience is required.

Qualifications

• Experience in developing enterprise data architectures, ensuring data quality, security, and compliance with organizational policies and industry standards, utilizing emerging technologies such as data analytics, machine learning, and cloud-based data storage.
• Experience with how to implement a data mesh architecture across a dynamic workforce.
• Providing subject matter expertise on data policy and governance materials;
• Drafting, editing, and facilitating the coordination of data policy and governance materials subject to Sponsor review and approval;
• Drafting, editing, and facilitating the coordination of processes for ODNI data sharing, analysis, and interoperability;
• Identifying and supporting opportunities to implement technologies that support data services and tools;
• Collaborating with Sponsor stakeholders, including organizing and facilitating governance activities related to governance boards and working groups, as necessary;
• Identifying opportunities and support initiatives to improve data acumen among the Sponsor workforce;
• Developing and implementing an ODNI Enterprise Data Architecture and ensuring its integration with the overall ODNI and IC enterprise architectures;
• Developing and implementing ODNI Enterprise Data Standards and metrics to identify and improve data normalization across the organization.

Skills

• Experience in developing enterprise data architectures, ensuring data quality, security, and compliance with organizational policies and industry standards, utilizing emerging technologies such as data analytics, machine learning, and cloud-based data storage.
• Experience with how to implement a data mesh architecture across a dynamic workforce.
• Providing subject matter expertise on data policy and governance materials;
• Drafting, editing, and facilitating the coordination of data policy and governance materials subject to Sponsor review and approval;
• Drafting, editing, and facilitating the coordination of processes for ODNI data sharing, analysis, and interoperability;
• Identifying and supporting opportunities to implement technologies that support data services and tools;
• Collaborating with Sponsor stakeholders, including organizing and facilitating governance activities related to governance boards and working groups, as necessary;
• Identifying opportunities and support initiatives to improve data acumen among the Sponsor workforce;
• Developing and implementing an ODNI Enterprise Data Architecture and ensuring its integration with the overall ODNI and IC enterprise architectures;
• Developing and implementing ODNI Enterprise Data Standards and metrics to identify and improve data normalization across the organization.

Benefits

• Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees. In addition, each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large.
• Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement. From upskilling programs to recertification support, to professional development opportunities, we’re here to help you grow your career and create lasting relationships.
• Emphasis on Inclusivity: DCCA’s culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection.
• Empowering Health: DCCA’s benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work.

Pay

The proposed salary range for this position in Maryland is $128,000 to $270,000. Final salary will be determined based on various factors.

Schedule

Details on the schedule are not specified in the job posting.