Role Description - Liderar o design e a evolução de pipelines de dados em ambiente cloud (AWS); - Conduzir a migração de soluções de dados de Azure para AWS; - Definir e implementar arquiteturas modernas (Lakehouse, Data Lakes); - Garantir eficiência, escalabilidade e governança dos dados (catalog, lineage, compliance); - Orquestrar pipelines robustos e sustentáveis em produção; - Estruturar ambientes com CI/CD e boas práticas de engenharia; - Apoiar iniciativas de dados para Machine Learning; - Atuar como referência técnica, propondo melhorias e direcionamentos. Qualifications - Experiência sólida como Engenheiro(a) de Dados Sênior; - Forte domínio em Python, Spark (PySpark) e SQL; - Experiência com orquestração (Airflow, Step Functions ou ADF); - Vivência com Data Lakes e arquitetura Lakehouse (Delta, Iceberg, Parquet); - Experiência com AWS (EMR, Glue, Lake Formation); - Conhecimento em Azure (Data Factory, Synapse, entre outros); - Experiência com bancos como Redshift, Snowflake, PostgreSQL; - Prática com CI/CD (Terraform, GitHub Actions, CloudFormation); Requirements - Diferenciais: Experiência em migração entre clouds (Azure → AWS); - Atuação com dados para Machine Learning; - Vivência em ambientes de alta escala.

Who We Are: TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality. The Role The Manager, Analytics Engineering sits within Data & AI Product and Services and leads the enterprise reporting and analytics engineering function. This role is responsible for building, standardising, and scaling trusted reporting products across TKO’s global brands. You will lead a team of BI / analytics engineers responsible for semantic models, metric definitions, dashboards, data visualisation standards, and reporting automation. The role will partner closely with Data & AI Product Management, Data Engineering, Data Science, Data Governance, and business stakeholders to ensure reporting assets are accurate, scalable, governed, and aligned to enterprise data domains. This role bridges business insight needs with modern data platform capabilities. Responsibilities Reporting & Analytics Engineering Leadership - Lead and develop a high-performing team of BI and analytics engineers. - Own the enterprise reporting engineering roadmap in partnership with Data Product management. - Establish scalable patterns for dashboard development, metric definition, and semantic modelling. - Standardise enterprise KPI definitions and reporting frameworks across brands. - Ensure consistent data modelling approaches aligned to canonical domains. Data Modelling & Semantic Layer Ownership - Design and maintain curated, analytics-ready data models. - Own semantic layers, business logic, metric libraries, and reporting data marts. - Partner with Data Engineering to optimise transformations and pipelines. - Implement testing, version control, CI/CD, and observability for reporting assets. - Ensure lineage and metadata are properly documented in the enterprise catalog. Governance & Quality - Embed data quality checks and validation frameworks into reporting workflows. - Ensure alignment with data governance standards, access controls, and privacy requirements. - Eliminate duplicate or shadow reporting solutions across the organisation. - Drive certification processes for enterprise dashboards and KPIs. - Support auditability and traceability of business metrics. Product & Stakeholder Partnership - Translate business insight needs into scalable reporting solutions. - Partner with Product Managers to prioritise reporting backlogs. - Support executive dashboards and board-level reporting frameworks. - Promote self-service analytics capabilities through enablement and training. - Establish SLAs for reporting delivery and support. Operational Excellence - Implement development standards, code review processes, and release governance. - Drive performance optimisation and cost efficiency of reporting workloads. - Maintain documentation, onboarding materials, and reporting playbooks. - Manage vendor tools and BI platform administration where applicable. - Continuously improve reporting maturity across brands. Behavioural Competencies - Strategic Execution – Connects reporting outputs to business outcomes and enterprise data strategy. - Ownership & Accountability – Takes responsibility for data accuracy, reliability, and scalability. - Collaboration – Works effectively across Product, Engineering, Governance, and business teams. - Data Stewardship Mindset – Treats metrics and models as enterprise assets. - Continuous Improvement – Drives automation, standardisation, and engineering best practices. - Influence Without Authority – Aligns federated business teams to enterprise standards. Required Experience and Skills - 7+ years in analytics engineering, BI engineering, or advanced reporting roles. - 2+ years leading or mentoring analytics / BI engineers. - Strong experience with modern data stacks (e.g., Snowflake, dbt, BI platforms). - Deep understanding of dimensional modelling and semantic layer design. - Experience defining enterprise KPI frameworks and governance controls. - Strong SQL and data transformation skills. - Familiarity with CI/CD, version control, and analytics engineering workflows. - Experience working in federated, multi-brand organisations. - Strong stakeholder communication skills, including executive reporting exposure. Preferred Skills - Experience supporting executive and board-level reporting. - Familiarity with data cataloguing and lineage tooling. - Experience with self-service analytics enablement. - Exposure to AI-driven insights or automated reporting. - Experience working in sports, media, entertainment, or large event-driven businesses. Per local requirements and in the interest of transparency, the hourly rate shown below reflects the prevalent current hiring range for this position. Hiring pay rates are based on a number of factors, including location and may vary depending on job-related qualifications, knowledge, skills and experience. The company strives to provide locally competitive rewards packages, which include base rate along with, as applicable, short- and long-term incentives, growth and developmental opportunities, and robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings. Hiring Rate Minimum: $150,000 annually(minimum will not fall below the applicable State/local minimum salary thresholds) Hiring Rate Maximum: $200,000 annually TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment. TKO makes employment decisions based on merit and qualifications, without considering an employee’s or applicant’s race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities. TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws. For information about Privacy and Information Security for TKO employment candidates, please review our Privacy Policy. For information regarding Terms of Use for this and other TKO websites, please review our Terms of Use.

Role Description The Epic Clarity Analyst/SQL Developer (Data Intelligence Analyst II) works with end-user requests to detail moderately to sophisticated business requirements, data definitions, business rules, and data quality requirements in support of enterprise data intelligence projects. - Creates specifications for reports and analysis based on business/clinical needs and data elements required or available. - Produces data sets, reports, ad-hoc requests, dashboards, etc. - Conducts data analysis in support of a variety of analytic solutions. - Writes moderately sophisticated structured Query Language (SQL) codes and queries. - Analyzes complex problems and issues using data from internal and external sources. - Demonstrates a strong understanding of report analysis and development. - Triages intake of data requests and seeks an understanding of business needs. - Applies knowledge of healthcare and critical thinking skills in the analysis of business requests and makes recommendations for solutions to solve challenges. - Provides sophisticated report and data analysis with the help of team members, vendors, and/or other EIS department contacts. - Provides quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers. - Participates in re-engineering, as needed, operational work-flow processes with end-users/business owners. - Solid understanding of build concepts, Epic migration paths, change control process/governance, and ticket management process. - Leads and evaluates process and requirements analysis, including process mapping through current flow charts, documents, future needs/plans, requirement elicitation, stakeholder analysis, and specification gathering on complex projects. - Using current and projected data, provides recommendations. - Serves as the primary point of contact for vendor support and assistance for larger and more complex projects as well as in resolving increasingly complex or critical issues in assigned areas. - Handles relationships with external vendors. - Independently provides guidance and leadership on quality assurance and testing initiatives. - Demonstrates ability to lead the team through complex integrated testing processes. - Manages testing projects as necessary. - Contributes to strategy discussions by proactively identifying options with associated pros and cons with EIS team members and others. Company Description Cedars-Sinai was recently named one of the "Best Places to Work in IT 2025" by Computerworld and ranked #2 among large organizations for hybrid work. - Healthtech excellence acknowledged by the “CHIME Digital Health Most Wired” recognition program. - Assigned a Level 10—the most prestigious level of certification—among more than 300 surveyed healthcare organizations. - High scores across multiple verticals, particularly in infrastructure, interoperability, and population health innovation. - Outstanding benefit package and competitive salaries. - Culturally and ethnically diverse community. - Dedication to creating a multifaceted, inclusive environment that fuels innovation and the gold standard of patient care.

• Own product analytics end-to-end from event taxonomy and instrumentation through to dashboards and insight delivery • Build and extend instrumentation for frontend and server-side event tracking • Design dashboards PMs use daily to answer key questions • Define what we measure and why, creating our event taxonomy • Surface insights proactively and enable self-service analysis for PMs and stakeholders • Maintain data quality and trust through monitoring and testing