Jobright.ai
Senior Data Analytics Engineering Leader
Jobright.ai, San Francisco, California, United States, 94199
Senior Data Analytics Engineering Leader
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Senior Data Analytics Engineering Leader
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Jobright.ai Senior Data Analytics Engineering Leader
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Senior Data Analytics Engineering Leader
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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Anthropic is a public benefit corporation focused on creating reliable and interpretable AI systems. The Data Analytics Engineering Leader will lead the Analytics Engineering team, overseeing the development of scalable data solutions and ensuring access to reliable metrics for data-driven decision making across the organization. Responsibilities: • Lead and scale the Analytics Engineering team, including hiring and mentoring a team of high performing analytics engineers • Define and execute the strategic roadmap for data infrastructure and analytics capabilities across the organization • Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions • Partner with Data Science, Engineering, Product, GTM, and other leadership to understand data needs and translate them into technical requirements • Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team • Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data driven decisions across the company • Collaborate with cross-functional leaders to influence product and GTM roadmaps from a data systems perspective • Foster a culture of technical excellence, continuous learning, and data-driven decision making • Manage resource allocation, project prioritization, and team capacity planning • Serve as a technical thought leader for data modeling, ETL processes, and analytics infrastructure Qualifications: Required: • 5+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment • 10+ years of total experience in analytics engineering, data engineering, or similar data-focused roles • "Director" or "Senior Manager" title at a large organization, or "Head of" title at a smaller organization • Deep expertise in data modeling, ETL pipelines, and data warehouse architecture • Proven track record of building and leading high-performing teams • Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools • Experience partnering with Product, Engineering, and GTM leaders to deliver key company-wide metrics • Demonstrated ability to balance strategic thinking with hands-on technical leadership • Excellence in stakeholder management and cross-functional collaboration • Strong communication skills with the ability to translate complex technical concepts for diverse audiences • Experience scaling analytics functions from early stage to maturity • Track record of establishing data governance, quality standards, and best practices • A passion for Anthropic's mission of building helpful, honest, and harmless AI • Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Preferred: • Experience building analytics engineering functions from scratch at high-growth startups • Background in AI/ML companies or similar technical domains • Expertise with cloud data warehouses (BigQuery, Snowflake, etc.) and orchestration tools • Track record of implementing self-service analytics platforms • Experience with data governance and compliance in regulated industries • Prior experience in a player-coach role, balancing hands-on technical work with management • Contributions to open-source data tools or communities Company: Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values. Founded in 2021, the company is headquartered in San Francisco, California, USA, with a team of 501-1000 employees. The company is currently Late Stage. Anthropic has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Data Specialist” roles.
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Join to apply for the
Senior Data Analytics Engineering Leader
role at
Jobright.ai Senior Data Analytics Engineering Leader
2 days ago Be among the first 25 applicants Join to apply for the
Senior Data Analytics Engineering Leader
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Anthropic is a public benefit corporation focused on creating reliable and interpretable AI systems. The Data Analytics Engineering Leader will lead the Analytics Engineering team, overseeing the development of scalable data solutions and ensuring access to reliable metrics for data-driven decision making across the organization. Responsibilities: • Lead and scale the Analytics Engineering team, including hiring and mentoring a team of high performing analytics engineers • Define and execute the strategic roadmap for data infrastructure and analytics capabilities across the organization • Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions • Partner with Data Science, Engineering, Product, GTM, and other leadership to understand data needs and translate them into technical requirements • Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team • Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data driven decisions across the company • Collaborate with cross-functional leaders to influence product and GTM roadmaps from a data systems perspective • Foster a culture of technical excellence, continuous learning, and data-driven decision making • Manage resource allocation, project prioritization, and team capacity planning • Serve as a technical thought leader for data modeling, ETL processes, and analytics infrastructure Qualifications: Required: • 5+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment • 10+ years of total experience in analytics engineering, data engineering, or similar data-focused roles • "Director" or "Senior Manager" title at a large organization, or "Head of" title at a smaller organization • Deep expertise in data modeling, ETL pipelines, and data warehouse architecture • Proven track record of building and leading high-performing teams • Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools • Experience partnering with Product, Engineering, and GTM leaders to deliver key company-wide metrics • Demonstrated ability to balance strategic thinking with hands-on technical leadership • Excellence in stakeholder management and cross-functional collaboration • Strong communication skills with the ability to translate complex technical concepts for diverse audiences • Experience scaling analytics functions from early stage to maturity • Track record of establishing data governance, quality standards, and best practices • A passion for Anthropic's mission of building helpful, honest, and harmless AI • Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Preferred: • Experience building analytics engineering functions from scratch at high-growth startups • Background in AI/ML companies or similar technical domains • Expertise with cloud data warehouses (BigQuery, Snowflake, etc.) and orchestration tools • Track record of implementing self-service analytics platforms • Experience with data governance and compliance in regulated industries • Prior experience in a player-coach role, balancing hands-on technical work with management • Contributions to open-source data tools or communities Company: Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values. Founded in 2021, the company is headquartered in San Francisco, California, USA, with a team of 501-1000 employees. The company is currently Late Stage. Anthropic has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Data Specialist” roles.
San Francisco, CA $61,152.00-$82,992.00 1 month ago San Francisco, CA $113,000.00-$132,000.00 1 month ago San Francisco, CA $124,448.00-$134,000.00 3 days ago South San Francisco, CA $90,000.00-$120,000.00 1 month ago Data Analyst - People Analytics (Short-Term Employment)
San Francisco, CA $124,000.00-$176,000.00 2 weeks ago San Francisco, CA $80,000.00-$100,000.00 2 days ago San Francisco, CA $100,000.00-$120,000.00 2 days ago San Francisco, CA $90,000.00-$250,000.00 1 year ago FBI Special Agent: Advanced Data & Intelligence Expertise
San Francisco, CA $99,461.00-$128,329.00 2 weeks ago San Francisco, CA $140,000.00-$160,000.00 1 day ago Junior Data Specialists (San Francisco, CA)
San Francisco, CA $135,000.00-$175,000.00 3 weeks ago San Francisco, CA $135,000.00-$190,000.00 7 months ago San Mateo, CA $120,000.00-$160,000.00 2 weeks ago San Francisco, CA $180,000.00-$200,000.00 1 month ago San Mateo, CA $20,000.00-$60,000.00 1 year ago San Francisco, CA $178,000.00-$195,800.00 9 months ago San Francisco, CA $40,000.00-$120,000.00 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr