Principal Data Lead

🏢 Bixal · all 16 jobs
📍 United States
💰 USD 160,000 - 200,000 / annual
📅 Posted Sep 14, 2026 · via Himalayas
🏷 Client Delivery, AI And Data Engineering, Data Governance, Data Strategy, Data Platform Engineering, Data Lead +9 more
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Important Notice for Applicants:
At Bixal , we want to ensure a transparent and secure application process for all candidates. Official communication will come from an email address ending in @bixal.com or from @bixal.na.teamtailor-mail.com. Messages from other sources may be fraudulent, and you should exercise care to avoid any links or attachments included.

Bixal will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Need Assistance or a Reasonable Accommodation?If you need assistance or a reasonable accommodation to complete your application, we're here to help. Please reach out to us at and let us know how we can support you. You do not need to share personal details or disclose the nature of your request. You can expect a response from a team member within 24 hours during the regular work week and on the next operating day during the weekend or holidays.
Why Bixal ?

Bixal is a consulting company headquartered in Fairfax, VA, working alongside governments and organizations to help them deliver better services and experiences to the communities they serve. Using evidence-based knowledge and technology, Bixal empowers clients to deliver on their missions more effectively by fostering a culture of learning and continuous improvement.
Our values:

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People-First : Emphasizing the importance of people in all aspects of work.

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Collaboration and Transparency : Valuing teamwork and open communication.

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Growth Mindset : Encouraging innovation and continuous improvement.

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Creating Lasting Impact : Focusing on meaningful outcomes and positive change.

About the role:

Bixal is seeking a Principal Data Lead to help lead the strategy, governance, and quality of data on one of our large-scale federal data platform programs. In this role, you'll own execution of the data strategy for a multi-year enterprise data platform, lead the data supply chain, and drive a multi-phase metadata maturity program that raises the bar for how data is documented, trusted, and reused across the platform. You'll govern how data is promoted from initial ingestion through validated, trusted status, set and maintain data quality standards, and serve as the connective tissue between the platform team and the many upstream source-system teams and business data owners who depend on it.

This is foundational work: the metadata and data quality practices you lead are what make it possible to safely expand governed self-service analytics and AI use cases. If you enjoy building durable data governance capability inside a live, high-stakes production environment — not just writing policy — we'd love to hear from you.

This is a unique opportunity to make a meaningful impact on a project that aligns with Bixal ’s mission of delivering innovative, human-centered solutions. At Bixal , we support your professional journey, ensuring your experience reflects our, purpose-driven culture and prepares you for future success.
Location:

This role can work remotely from anywhere in the U.S. Applicants must be authorized to work for any employer in the U.S., be able to obtain and maintain the required Public Trust clearance, and obtain a U.S. Federal Government client badge. Bixal does not sponsor employment visas or assume sponsorship of existing employment visas.
Compensation:

The salary range for this role is $160,000 – $200,000. In the spirit of transparency, most offers tend to land near the midpoint of the range. We make compensation decisions thoughtfully, considering your experience, the skills you bring, and our commitment to internal equity. Fairness and transparency are core to how we operate.
Responsibilities:

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Own execution of the data strategy for a large-scal

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