Sr. Product Manager - Data Security, Strategy and Implementation
Seattle, King County, Washington, 98127, USA
Listed on 2025-12-05
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IT/Tech
Cybersecurity, Information Security
Sr. Product Manager - Data Security, Strategy and Implementation
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business‑critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity.
Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e‑signature and contract lifecycle management (CLM).
The Sr. Product Manager, Data Security Strategy and Implementation will be a product‑focused individual contributor responsible for shaping and implementing Docusign’s comprehensive Data Security Strategy. A key member of our AI & Data Security team, the Sr. Product Manager will work across the Security team and with cross‑functional business leaders to integrate data security best practices into all business functions.
In this role, you will spearhead initiatives that establish and mature the governance and security strategy for all company and customer data. This includes ensuring proper data handling, classification, enabling secure access, and setting security standards for data use in internal tools and our products. You will also support related AI security programs, including securing AI development pipelines and supporting the safe adoption of AI tools, as part of the holistic data security‑first framework.
Partnering with Engineering, Product, Security, Legal, IT, and Compliance teams, you will define and deliver programs that safeguard all company data, as well as AI models and AI‑enabled platforms, bridging program delivery, risk management, and emerging data security practices.
- Develop and execute the organization’s overarching data security and governance strategy, including the security requirements for AI and ML systems, aligning with overall business objectives, digital transformation initiatives, and product and enterprise security requirements.
- Be a key contributor on a high‑performing, product‑driven team focused on measurable outcomes and continuous improvement.
- Work in close partnership with security engineers within the AI & Data Security team;
Security teammates within product security, enterprise security, and detect and respond; and cross‑functional leaders across the business. - Define, deliver, and continuously evolve data security best practices for the entire data lifecycle.
- Operationalize governance and guardrails for data handling, access, classification, and AI/ML tool adoption, ensuring safe and compliant use across the organization.
- Drive data security programs, ensuring security best practices, resilience, and regulatory compliance in how all company and customer data is collected, stored, processed, and leveraged.
- Partner with Product, Engineering, and Security leaders to embed secure by design and default principles into data platforms, AI/ML systems, and product workflows.
- Translate technical risk into business impact, providing clear updates, trade‑off discussions, and recommendations to executives.
- Ensure products and data‑handling processes meet internal security standards, industry frameworks, and regulatory requirements.
- Define measurable success criteria and report outcomes to leadership.
Hybrid:
Employee divides their time between in‑office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in‑office expectation).
- 8+ years in data security, data governance, or related security disciplines, with exposure to AI security.
- Bachelor’s degree in computer science, data science, cybersecurity, risk management, or a related technical field.
- Experience leading or managing enterprise‑wide data security and governance programs.
- Experience with product security, including secure development lifecycle and CI/CD best practices,…
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