myGwork - LGBTQ+ Business Community
Sr Mgr Data Engineering (Agentic AI focus)
myGwork - LGBTQ+ Business Community, Culver City, California, United States, 90232
Overview
Sr Mgr Data Engineering (Agentic AI focus) — Sony Pictures Entertainment. The role leads efforts to deploy modern tools and processes including genAI and agentic AI to accelerate and scale data management, evaluate technologies, prototype implementations, and rapidly deploy innovations to improve data quality, reliability, and team velocity. Works with non-technical stakeholders, data visualization engineers, and data scientists to enable the Insights, Strategy, and Analytics (ISA) team to deliver sophisticated analytical tools. Key Responsibilities
AI Innovation:
Drive technical innovation within the data engineering and data stewardship teams to leverage agentic AI and other emerging technologies to boost speed, quality, and accuracy across the data lifecycle. New sources: data profiling, pipeline development, cataloging, documentation Data cleaning: scrubbing malformed values, normalization Data enrichment: matching, harmonization, accuracy confidence scoring, generating synthetic & genAI data Data operations & data stewardship: pipeline monitors and alerts, anomaly detection, proactive defect detection Data stewardship: nimble adaptation as upstream sources evolve Data Engineering
Translate complex business requirements into robust ELT pipelines, data models, and operational processes. Establish tools and processes to ensure data quality and accuracy. Project Delivery
Contribute to fast-paced project teams building new ISA analytical tools. Source and model data from disparate systems to create data assets used by data scientists and data visualization leads, with collaboration across disciplines. Accelerate The Team
As an experienced IC, champion transformative tools, accelerate team velocity, and scale outputs across data engineering and data stewardship. Coach and train team members, partner with IT and governance teams to enable new capabilities, and advocate for modernization throughout the ISA product development lifecycle. Qualifications
Education:
Bachelor’s or Master’s degree in Computer Science, Data Science, Business Analytics, or related fields; advanced degrees are a plus. Experience:
10+ years in data engineering or related technical leadership roles, preferably in media and entertainment or related industries. AI Expertise
Broad knowledge of Generative AI, LLMs, agentic AI paradigms, model lifecycle landscape for modernizing legacy data pipelines and data management processes. Successful track record of implementing agentic AI workflows and testing frameworks to improve data quality and reliability. 2+ years hands-on experience applying AI to data management processes. Technical Acumen
Proficiency in data engineering, analytics tools, and methodologies. Expert-level SQL & Python skills. Hands-on experience with modern orchestration tools like Airflow. Conceptual expertise in data modeling and system architecture design within a modern data stack. Familiarity with software engineering best practices (source control, code reviews, unit testing). Skilled at creating ERDs, architectural diagrams and technical specs. Business Focus & Communication Skills
Deep knowledge and interest in business concepts, entities and relationships relevant to a TV production & distribution studio. Proven track record of understanding complex data domains to effectively organize and manage data assets for analytical use. Strong communication skills to collaborate with non-technical stakeholders and gather requirements; curiosity to understand business systems where data originates. Preferred Qualifications
Industry Experience: Experience in the media and entertainment industry is a plus, but candidates from other industries are welcome to apply. Passion for Entertainment: Genuine interest in film and television is appreciated but not mandatory. Strategic Mindset: Strong problem-solving skills and attention to detail. Collaborative Team Builder: Experience in diverse, multicultural, international environments. Continuous Learner: Commitment to ongoing learning and innovation. The anticipated base salary for this position is $128K to $167K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on qualifications, years of experience, education, licenses, and location. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for the hiring process, contact SPE_Accommodation_Assistance@spe.sony.com. Job Details
Seniority level: Director Employment type: Full-time Job function: Information Technology Industries: Entertainment
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Sr Mgr Data Engineering (Agentic AI focus) — Sony Pictures Entertainment. The role leads efforts to deploy modern tools and processes including genAI and agentic AI to accelerate and scale data management, evaluate technologies, prototype implementations, and rapidly deploy innovations to improve data quality, reliability, and team velocity. Works with non-technical stakeholders, data visualization engineers, and data scientists to enable the Insights, Strategy, and Analytics (ISA) team to deliver sophisticated analytical tools. Key Responsibilities
AI Innovation:
Drive technical innovation within the data engineering and data stewardship teams to leverage agentic AI and other emerging technologies to boost speed, quality, and accuracy across the data lifecycle. New sources: data profiling, pipeline development, cataloging, documentation Data cleaning: scrubbing malformed values, normalization Data enrichment: matching, harmonization, accuracy confidence scoring, generating synthetic & genAI data Data operations & data stewardship: pipeline monitors and alerts, anomaly detection, proactive defect detection Data stewardship: nimble adaptation as upstream sources evolve Data Engineering
Translate complex business requirements into robust ELT pipelines, data models, and operational processes. Establish tools and processes to ensure data quality and accuracy. Project Delivery
Contribute to fast-paced project teams building new ISA analytical tools. Source and model data from disparate systems to create data assets used by data scientists and data visualization leads, with collaboration across disciplines. Accelerate The Team
As an experienced IC, champion transformative tools, accelerate team velocity, and scale outputs across data engineering and data stewardship. Coach and train team members, partner with IT and governance teams to enable new capabilities, and advocate for modernization throughout the ISA product development lifecycle. Qualifications
Education:
Bachelor’s or Master’s degree in Computer Science, Data Science, Business Analytics, or related fields; advanced degrees are a plus. Experience:
10+ years in data engineering or related technical leadership roles, preferably in media and entertainment or related industries. AI Expertise
Broad knowledge of Generative AI, LLMs, agentic AI paradigms, model lifecycle landscape for modernizing legacy data pipelines and data management processes. Successful track record of implementing agentic AI workflows and testing frameworks to improve data quality and reliability. 2+ years hands-on experience applying AI to data management processes. Technical Acumen
Proficiency in data engineering, analytics tools, and methodologies. Expert-level SQL & Python skills. Hands-on experience with modern orchestration tools like Airflow. Conceptual expertise in data modeling and system architecture design within a modern data stack. Familiarity with software engineering best practices (source control, code reviews, unit testing). Skilled at creating ERDs, architectural diagrams and technical specs. Business Focus & Communication Skills
Deep knowledge and interest in business concepts, entities and relationships relevant to a TV production & distribution studio. Proven track record of understanding complex data domains to effectively organize and manage data assets for analytical use. Strong communication skills to collaborate with non-technical stakeholders and gather requirements; curiosity to understand business systems where data originates. Preferred Qualifications
Industry Experience: Experience in the media and entertainment industry is a plus, but candidates from other industries are welcome to apply. Passion for Entertainment: Genuine interest in film and television is appreciated but not mandatory. Strategic Mindset: Strong problem-solving skills and attention to detail. Collaborative Team Builder: Experience in diverse, multicultural, international environments. Continuous Learner: Commitment to ongoing learning and innovation. The anticipated base salary for this position is $128K to $167K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on qualifications, years of experience, education, licenses, and location. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for the hiring process, contact SPE_Accommodation_Assistance@spe.sony.com. Job Details
Seniority level: Director Employment type: Full-time Job function: Information Technology Industries: Entertainment
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