Sr. Manager - Revenue Enhancement & Insights, Amazon MGM Studios Distribution

Description Amazon MGM Studios Distribution is seeking a Sr Manager, Revenue Enhancement & Insights to lead the effort in utilizing advanced analytical solutions to drive revenue generation through insights about our customers and their behaviors . The successful candidate will collaborate with the sales/distribution, marketing and technology teams to design and develop next generation intelligence and research capabilities to support data-driven decision making and optimize financial performance. Key job responsibilities * Lead data collection and oversee the ETL pipeline for SVOD, AVOD, and FAST services. * Develop and manage KPIs to assess the effectiveness of sales team efforts across 80+ local and global services. * Manage forecasting projects and deal analysis, especially for high-value and ambiguous deals related to AVOD/FAST, stacked rights, and key clients. * Create and refine best practices for OTT analysis, including SVOD, AVOD, FAST, Catch-Up using first-party (1P) and client viewership data. * Train the analytics and research team on methodologies and review all analyses produced. * Stay informed about market dynamics, industry trends, regulatory changes, and service/channel needs to identify growth opportunities and challenges. * Analyze title, territory, and media trends to propose strategic actions for leveraging core competencies and innovating. * Establish partnerships with analytics leaders and senior stakeholders across the organization to access data resources and organizational insights. * Act as a Subject Matter Expert (SME) bridging the third party (3P) Distribution business and the 1P platform perspectives. * Simplify and present complex concepts to various teams to ensure understanding and alignment. * Provide dashboards, tools, and resources to support sales teams and help maintain competitiveness. * Mentor each team member. About the team Amazon MGM Studios Distribution oversees the third party monetization of Amazon Studios titles, as well as MGM new release and library movies and series such as film franchises James Bond, Rocky and Creed, and series The Handmaids Tale, Vikings, and Fargo. Basic Qualifications Bachelors degree in a quantitative field or MBA with a strong data-driven business development background or equivalent experience 10 years of experience in the entertainment industry, with expertise in distribution windows and streaming viewership data. 8+ years of experience in data analytics, with a proven track record of extracting meaningful business insights. Knowledge of advertising metrics and reporting for AVOD and FAST services. Proficiency in SQL with the ability to write and troubleshoot queries. Proficiency with Excel and common business intelligence/analytics/visualization applications (Tableau, Microstrategy, Qlik etc.) Preferred Qualifications Masters or PhD in Data Science or similar discipline Strong understanding of the film industry, marketing strategies, and digital/social media metrics, as well as familiarity with industry data sources (e.g., NRG, Comscore, Nielsen, Glance, MediaLogic, Parrot Analytics) and ROI analysis. Excellent communication, collaboration and presentation skills. Ability to translate technical concepts to non-technical stakeholders and to influence decision-makers with data. Experience leading and mentoring data science/research teams. -Understanding of data and ETL pipelines, with the ability to communicate requirements to engineers. Proven ability to build partnerships and provide actionable guidance by adapting details to various teams' technical knowledge. Proficiency in programming languages (e.g., Python, R, SQL) and data engineering tools/platforms (e.g., Airflow, Snowflake, AWS). Expertise in machine learning, statistical modeling, and data visualization techniques, including experience with tools like AWS Sagemaker, PyTorch, Tensorflow, xgboost, randomforest, caret, ggplot2. Ability to build, maintain and troubleshoot machine learning pipelines and dashboards. Advanced skills in financial modeling and forecasting, especially for licensing revenue models. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,700/year in our lowest geographic market up to $288,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.