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Head Of Data Strategy Jobs in Renton, WA (NOW HIRING)

Our games challenge players with fast-paced, strategy-driven gameplay. Everything we create starts ... Strong analytical mindset; comfortable using data to make decisions and drive improvements

Our games challenge players with fast-paced, strategy-driven gameplay. Everything we create starts ... Strong analytical mindset; comfortable using data to make decisions and drive improvements

Our games challenge players with fast-paced, strategy-driven gameplay. Everything we create starts ... Strong analytical mindset; comfortable using data to make decisions and drive improvements

Head of People

Seattle, WA · On-site

$180K - $280K/yr

The Head of People will be responsible for driving BRINC's overall human resources & talent ... Strong analytical skills with the ability to interpret people data and make strategic decisions.

You will set the strategic direction, build the systems and processes that drive operational ... Build and maintain reporting infrastructure that supports data-driven decision-making across both ...

Head of Operations, Warranty

Seattle, WA · On-site

$138.80 - $194.30/hr

You will set the strategic direction, build the systems and processes that drive operational ... Build and maintain reporting infrastructure that supports data-driven decision-making across both ...

Showing results 21-40

Head Of Data Strategy information

See Renton, WA salary details

$28.1K

$147.2K

$249.6K

How much do head of data strategy jobs pay per year?

As of Aug 7, 2026, the average yearly pay for head of data strategy in Renton, WA is $147,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,732.00 and $187,570.00 per year, depending on experience, location, and employer.

What is the difference between Head Of Data Strategy vs Data Analytics Manager?

AspectHead Of Data StrategyData Analytics Manager
Required CredentialsBachelor's/Master's in Data Science, Business, or related fields; experience in data strategyBachelor's/Master's in Data Analytics, Business, or related fields; experience in analytics management
Work EnvironmentStrategic leadership, cross-departmental collaboration, executive-level planningTeam management, project oversight, data analysis execution
Employer & Industry UsageUsed in organizations focusing on data-driven strategies and long-term planningCommon in companies emphasizing operational analytics and reporting

The Head Of Data Strategy focuses on developing and guiding overall data initiatives and aligning data goals with business strategy. In contrast, the Data Analytics Manager manages analytics teams to execute data projects and deliver insights. Both roles require strong data knowledge but differ in scope and strategic versus operational focus.

What are the main challenges faced by a head of data strategy when implementing data-driven initiatives across an organization?

A Head of Data Strategy often encounters challenges such as aligning diverse stakeholder interests, overcoming data silos, and fostering a data-driven culture. Coordinating between departments to ensure consistent data standards and buy-in can be complex, especially in organizations with legacy systems or varying data maturity levels. Additionally, ensuring compliance with data privacy regulations and demonstrating the tangible business value of data initiatives are ongoing priorities. Success in this role involves strong leadership, communication, and the ability to translate business goals into actionable data strategies.

What does a head of data strategy do?

A Head of Data Strategy is responsible for developing and overseeing an organization's approach to managing, analyzing, and utilizing data. This role involves setting long-term data goals, ensuring data quality and compliance, and aligning data initiatives with business objectives. They collaborate with other leaders to leverage data for decision-making, drive innovation, and create value from data assets. Additionally, they lead teams, establish best practices, and often manage data governance and security policies.

What are the key skills and qualifications needed to thrive as a head of data strategy?

To thrive as a Head Of Data Strategy, you need deep expertise in data analytics, business intelligence, and strategic leadership, often supported by an advanced degree in data science, computer science, or a related field. Familiarity with data management platforms, analytics tools like SQL, Python, and Tableau, and experience with data governance frameworks are typically required. Exceptional communication, stakeholder management, and critical thinking skills help drive cross-functional alignment and inspire teams. These skills and qualities are crucial for translating data insights into actionable business strategies that deliver measurable value.
What job categories do people searching Head Of Data Strategy jobs in Renton, WA look for? The top searched job categories for Head Of Data Strategy jobs in Renton, WA are:
What cities near Renton, WA are hiring for Head Of Data Strategy jobs? Cities near Renton, WA with the most Head Of Data Strategy job openings:
Infographic showing various Head Of Data Strategy job openings in Renton, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $147,178 per year, or $70.8 per hour.

Head of Data Science - Document Verification & Biometrics (Seattle)

Socure

Seattle, WA • On-site

Full-time

Re-posted 5 days ago


Job description

Why Socure? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

About The Role

We are seeking an exceptional and forward‑thinking leader to drive the next generation of AI‑powered Document Verification and Biometrics solutions. This role owns the end‑to‑end data science strategy and execution across document understanding, facial biometrics, and reusable identity systems, powering seamless and secure identity experiences.

You will lead the evolution from traditional computer‑vision systems to foundation model–driven, agentic architectures, tackling increasingly sophisticated threats such as deepfakes, presentation attacks, and counterfeit documents. This role demands a leader who operates with strong ownership, moves decisively, and consistently pushes the boundary of what is possible in applied AI.

What You’ll Do
  • Own and define the data science vision for Document Verification, Biometrics, and Reusable ID, delivering step‑function improvements in accuracy, speed, and user experience.
  • Lead and scale a high‑performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability.
  • Architect and deploy state‑of‑the‑art computer‑vision and multimodal systems, including vision‑language models (VLMs), for document understanding, face matching, liveness detection, and identity verification.
  • Drive the development of domain‑specific foundation models tailored to identity, documents, and biometrics, leveraging large‑scale proprietary datasets.
  • Lead the transition to agentic systems, building intelligent agents that can reason over document and biometric signals, automate verification workflows, and adapt dynamically to new fraud patterns.
  • Advance fraud and attack detection capabilities, including deepfake detection, presentation attack detection, and counterfeit document detection.
  • Design and implement secure and robust systems resilient to emerging threats such as prompt injection and adversarial attacks on multimodal and agent‑based systems.
  • Leverage vector databases and embedding systems to power similarity search, identity linking, and reusable identity experiences.
  • Partner closely with Product, Engineering, and Risk teams to deliver scalable, production‑grade solutions that meet both business and regulatory requirements.
  • Drive rapid experimentation and deployment, balancing innovation with reliability, explainability, and compliance.
  • Own customer communication and stakeholder management, serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade‑offs, and roadmap decisions while building strong, long‑term relationships.
  • Represent Socure externally as a thought leader in biometrics, document AI, and fraud prevention.
What You Bring
  • Advanced degree (MS/PhD preferred) in Computer Science, Electrical Engineering, Machine Learning, or a related field.
  • 10+ years of experience in data science, machine learning, or applied AI, with a strong track record of building and deploying production systems.
  • Deep expertise in computer‑vision and multimodal AI, including experience with vision‑language models (VLMs).
  • Proven experience building domain‑specific foundation models or large‑scale representation learning systems.
  • Strong understanding of biometric systems, including face recognition, liveness detection, and anti‑spoofing techniques.
  • Experience detecting and mitigating deepfakes, presentation attacks, and counterfeit documents.
  • Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real‑world deployment of autonomous or human‑in‑the‑loop agents.
  • Experience with vector databases and embedding‑based retrieval systems.
  • Strong awareness of emerging attack vectors, including prompt injection, adversarial inputs, and model exploitation techniques.
  • Proven ability to lead and scale high‑performing teams while delivering under ambiguity and tight timelines.
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch).
  • Proven ability to engage with customers and external stakeholders, clearly explaining complex AI systems, trade‑offs, and outcomes to both technical and non‑technical audiences.
  • Experience representing organizations in customer‑facing discussions, executive briefings, or public speaking engagements is strongly preferred.
What’s Ahead: Areas of Innovation
  • Agentic Document Verification systems that can reason, adapt, and automate complex verification workflows.
  • Deepfake detection at scale, across images, video, and multimodal inputs.
  • Injection and adversarial attack detection for multimodal and agent‑based systems.
  • Agentic red teaming, proactively identifying and mitigating vulnerabilities in AI systems.
  • Reusable identity platforms, enabling seamless and secure identity reuse across channels.
What You’ll Get
  • Work on industry‑defining problems at the intersection of AI, identity, and security.
  • Build cutting‑edge systems spanning computer‑vision, multimodal AI, and autonomous agents.
  • Join a fast‑moving, high‑caliber team that values ownership and innovation.
  • Competitive compensation, equity, and benefits.
  • Opportunity to shape the future of digital identity globally.

Please note that we can only hire within ~45 miles of San Francisco, New York, Seattle, Miami, and DC. We are unable to provide sponsorship support now or in the future.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

Compensation Range: $250K - $300K

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