We are looking for an engineering leader to lead a new Artifacts & Data function as part of the Privacy Tech Audit leadership team. This leader will develop new ways to look at all of the artifacts and evidence that the Privacy Tech Audit team and other Privacy teams create to enable this information to be used by our cross-functional partners and current regulators. This role will need to partner closely with other Tech Audit & Privacy leaders to make the data, safeguards and monitoring function more efficient through prioritized investment in automation and tooling as well as shaping the systems frameworks. Together with other privacy leads, this leader will play an important role in technical translation of legal requirements to system requirements and advising product leaders across the company on technical safeguard development and support remediation. She/He will build and lead a team of engineers and project managers who will lead charge on testing the effectiveness of safeguards, conduct risk-based reviews to monitor performance and remediation progress as well as escalate high risk concerns as it pertains to data and enabling ways for Facebook to properly represent this to our cross-functional partners and regulators. This position is full-time.

Engineering Director, Artifacts & Data Responsibilities

• Build a new Artifacts & Data function which establishes the new muscle around independent testing of privacy safeguards and controls as it pertains to centralized data, which will include articulating the team charter and roadmap

• Build out necessary tools/reporting/solutions that will enable Tech Audit’s and Privacy’s artifacts to be used by cross-functional partners and assessors

• Build and retain a team with mix of strong engineering and project management talent that is motivated to drive best privacy outcomes, which includes partnering with policy, risk, and compliance while empowering Facebook's rapid innovation and growth

• Strong partnerships with Privacy product teams (Product, Tooling, Infra, Privacy Review etc.) as well as Privacy Program and Legal teams to build and scale the team’s deliverables through investments in automation, tooling and right reporting infrastructure

• Communicate cross-functionally and drive engineering efforts, building consensus and leading teams to solutions in complex technical areas

• Support the continued development of a company wide-vision for data privacy and act as a primary driver for executing the engineering components of this vision

• Work to drive adoption of the services your team builds across all of Facebook's infrastructure

• Participate in and drive data privacy and policy discussions through the use of new tools, dashboards, insights, and Analytics

• Help define Facebook's Privacy priorities, with a focus on helping the company understand and awareness of the data that is used throughout our different product lines

• Collaborate with peers in the detection & response and policy, risk, & compliance space to develop and drive a company-wide privacy & compliance strategy

• Support the building of novel solutions to solve data privacy problems

Minimum Qualifications

• BA/BS in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field, or equivalent experience

• 10+ years of work experience, including hands-on technical management and proven contribution at both strategic and operational levels

• 5+ years of experience recruiting and managing technical teams, such as software engineering teams

• Experience working either across software engineering, compliance, or operations teams to drive privacy/compliance measures

• Relationship management experience and experience working within a global organization

• Experience providing technical leadership and guidance

• Demonstrated experience thinking strategically with analytical and problem-solving experience

Preferred Qualifications

• Experience in QA/Testing or Audit functions

• Experience in building new teams/functions

• Experience working well on ambiguous problems and manage the uncertainty of high-growth teams

• Experience with Data Visualization