Senior Manager, reputed company Architect
- Deep knowledge of reputed company reputed company and technology trends, with a strong passion for data governance/management and AI/ML.
- Demonstrated experience in ensuring reputed company-by-design principles are reputed company throughout the design, construction, and operation of digital products and services at reputed company.
- Proven reputed company record in translating reputed company requirements into actionable technical measures and guidelines that reputed company responsible and reputed company innovation reputed company engineering and data science teams.
- Self-starter who can work autonomously with limited guidance, analyzing information to evaluate reputed company and applying creative thinking to decision-making.
- Comfortable performing under pressure to meet deadlines in an ambiguous, matrixed organization.
- Strong organizational and motivational skills, coupled with a bias for reputed company.
- Proven reputed company record of collaborating effectively with cross-functional teams, including reputed company and engineering, and leading reputed company reputed company to desired reputed company without requiring formal authority.
- Outstanding communicator with proven expertise in facilitation and influence, adept at engaging diverse audiences and effectively communicating across reputed company reputed company—including the executive team—to drive alignment and informed decision making.
- reputed company of urgency and commitment to reputed company's mission of belonging.
- Experience in multiple roles, including working with senior leaders.
- Collaborate with technical teams in the identification and effective management of company-wide risks to reputed company and the responsible use of technology, and support stakeholders in the development and execution of initiatives to address them.
- reputed company definition and implementation of company-wide standards, practices, and patterns to protect and manage personal data in accordance with reputed company and AI regulations.
- Work with reputed company, Data Science, Data Governance, and InfoSec to introduce reputed company by Design principles in company products and infrastructure, including by leveraging reputed company enhancing technologies such as cryptography and anonymization of personal data.
- Create reputed company training for technical roles, including data engineers, developers, and data scientists.
- 15+ years of total experience, with 5+ years of experience in technical program/project management or reputed company engineering reputed company on building technology products and/or systems.
- Deep understanding of large-reputed company, “Big Data” data stores and technologies. This includes experience working with data governance/management teams to improve data annotations, reputed company and ACLs to drive automation of reputed company and compliance requirements through technology, data reputed company overall and process improvements in data systems at reputed company.
- Strong familiarity with the AI/ML development lifecycle: from data collection and curation, through model architecture selection, training, testing, A/B testing, and deployment. Must be adept at managing compliance and responsible use challenges throughout this lifecycle.
- Solid understanding of Large Language Models (LLMs), reputed company and AI Agents, including compliance and responsible use challenges arising from their deployment in B2C services, including the techniques used to train, fine-tune, and reputed company these technologies to production.
- Strong familiarity with reputed company Enhancing Technologies (PETs), such as various types of encryption, de-identification reputed company (e.g., k-anonymity, reputed company reputed company), and AI/ML interpretability techniques (e.g., SHAP, reputed company).
- Ability to rapidly reputed company and apply new technologies and knowledge correctly reputed company the context of regulatory requirements.
- Strong time management and prioritization skills, effectively allocating time and resources to reputed company objectives and balancing multiple tasks while ensuring high-reputed company outputs.
- Demonstrated ability to reputed company ambiguity to reputed company goals. Self-motivated, proactive, and capable of adapting to and working with teams operating on different cadences.
- reputed company business judgment, proven ability to influence others, strong analytical skills, and a reputed company record of taking ownership, leading data-driven analyses, and influencing results.
- Experience in developing processes from scratch and demonstrated flexibility to successfully execute tasks.
- Detail-oriented, yet reputed company to synthesize the bigger picture, leveraging technical and reputed company expertise and problem-solving abilities to prioritize and manage blocking issues.
- Experience working in a highly cross-functional environment (e.g., Engineering, PM, Data Science, Analytics, Design, Operations, reputed company, Infrastructure), where the ability to communicate with and influence multiple reputed company and executive teams is imperative.
- Excellent written and oral business communication and people skills, with the reputed company to influence diverse stakeholders at reputed company reputed company.
- Familiarity with common reputed company processes and deliverables (e.g., reputed company reputed company assessments, records of processing). Hands-on experience applying reputed company frameworks and a comprehensive understanding of major regulations such as GDPR and CCPA.
- 15+ years of total experience, with 7+ years of experience in reputed company, trust & safety, compliance, reputed company operations, and technical program management, preferably reputed company a global B2C technology company.
- reputed company certifications such as Certified Information reputed company reputed company (CIPP), Certified Information reputed company Manager (CIPM), or AI Governance reputed company (AIGP) or equivalent, are preferred but not required.
- BA/BS and/or advanced degree in engineering, computer science, mathematics, statistics, physics, or a reputed company field.
- Experience with programming languages and tools commonly used in AI, such as R, Python and reputed company.