Role Description Responsible for development and configuration of an SAP Analytics cloud tool within NBCUniversal Corporate technology. - Deliver an efficient SAP Planning and Analytical capability to support multiple business sectors requirements. - Responsible for requirements collection, design, and build of analytics solutions specific to SAP HANA, SAP S/4HANA, SAP Analytics Cloud and/or SAP BW4/HANA. - Communicate SAP-technologies in a simplified manner to business users to convey the “art of the possible.” - Design and build the proposed analytics solution. - Work with a variety of technologies such as native HANA modeling, HANA Smart Data Integration, SAP SLT for replication, ABAP CDS View development for analytics, SAP Analytics Cloud, SAP Datasphere and SAP BW4/HANA. - Lead requirement gathering sessions to define data acquisition, virtual data models in SAP HANA and report layouts in SAP Analytics Cloud or other analytics tools such as Tableau, Qlik, or PowerBI. - Lead and build proposed analytic solutions, supporting development, unit testing, user acceptance testing, and go-live. - Work with SAP BTP or HANA Administrators and Security team members on setup and configuration of user access. - Create Data Analytics Reports using SAP Cloud Analytics. - Collaborate with functional teams to translate user stories and problem statements into project/solution requirements. - Collaborate with extended Data and Analytics teams to design data pipelines to and from SAC. - Develop solutions quickly through an Agile process utilizing incremental minimal viable products to obtain user feedback and iterate towards a final solution. - Partner with functional teams to facilitate the deployment and adoption of delivered solutions. - Inform/coach key users, where necessary, regarding SAC usage and requests for displaying information in the system. - Facilitate with lead and business clients and Product teams on strategy and team sessions to assess in betterment of SAP Analytics. - Provide recommendations, develop customized solutions as needed, and manage follow-up and evaluation for all SAP planning requirements. - Develop new Planning scenarios, interfaces, cubes and other reporting structures, as and when identified by business needs/projects. - Assist with identified stabilization and simplification initiatives to improve overall SAP Analytics processes and performance. Review/Update support and operations documentation where required. - Participate in production support rota during key activity periods when required month-end, quarter-end, year-end etc. - Ensure consistency of master data between MDG and related systems. - Review and improve existing master data interfaces to eliminate master data issues in SAP ECC, SAP S/4, BW, BPC and any downstream systems. - Liaise with other Product teams to ensure timely resolution of all issues and to promote good working relationships. - 100% telecommuting is permitted for this role. Qualifications - Bachelor’s degree in Computer Science, Software Engineering, Mechanical Engineering or related field (or foreign degree equivalent), plus 15 years of experience in the job offered or in a related occupation. - Experience in Data Analytics with the ability to link development requirements back to business requirements. - Experience in using BI & Reporting Analytics tools, such as SAP BO, AOE, QlikView, MicroStrategy, Power BI and Tableau. - Experience providing infrastructure requirements (12 years of experience). - Experience providing SAP SAC user training (10 years of experience). - Experience in SAP data & Analytics products including various data and analytics solutions based on AWS, GCP and Azure (10 years of experience). - Experience in SAP SAC Analytics with the ability to link development requirements back to business requirements (5 years of experience). - Experience implementing SAP SAC in a multinational environment (5 years of experience). Requirements - This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence. Benefits - This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Additional Information - As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. - NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. - If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. - For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements.

Role Description We’re looking for a Solutions Architect to join our Customer Success team at MNTN! As a Solutions Architect, you will play a pivotal role in expanding new business to MNTN by designing and implementing solutions that align customer needs with business objectives. Acting as the platform subject matter expert (SME), you will support the pre-sales process, collaborate with cross-functional teams to develop and launch new business lines and partner integrations, and ensure the successful implementation of new solutions in order to drive long-term success for our customers. What you’ll do - Partner with customers, prospects, and internal teams to design technical solutions that leverage MNTN’s platform and meet real market needs - Act as the product and technical SME in pre-sales, helping sales teams uncover needs, articulate value, and address technical questions or objections - Identify gaps, closed-lost themes, and unmet customer needs—and work cross-functionally to shape new solutions, integrations, and enablement opportunities - Support and scale partnerships with third-party platforms, including helping build and operationalize technical integrations across measurement, data, analytics, and operations - Develop clear customer use cases and quantify market opportunities to help prioritize roadmap decisions with Engineering and Business Development - Collaborate with cross-functional teams to bring new solutions and partnerships to market, including creating internal and external playbooks and launch materials - Build sales enablement resources such as positioning guides, FAQs, process documentation, and troubleshooting support - Stay current on AdTech and CTV trends and serve as a go-to expert on competitors, partners, and the broader ecosystem What success looks like - Drive new revenue opportunities and customer growth by identifying customer needs, producing new, scalable solutions, and finally driving customer adoption. - Supporting the end-to-end roll out of new customer solutions, working cross-functionally on all key stages: identification, discovery, prioritization, development, beta testing, go-to-market planning, deployment, implementation, enablement, partner management and ongoing technical support. - Drive new revenue as the ongoing SME technical support on pre-sales touchpoints, as needed. Strengthen existing customer growth and sentiment as the ongoing SME for new integrations and cross-platform solutions. Qualifications - 3+ years of experience in a sales engineering or solutions engineering role - Prior experience in adtech or performance marketing - Prior experience with Go-To-Market Support - Clear and effective verbal and written communication skills, with a knack for translating technical concepts for non-technical audiences. - Demonstrate a deep understanding of customer challenges, positioning solutions that address their needs while emphasizing the relevance and benefits of our offerings. - Proactively identify and understand customer challenges to develop actionable solutions that align with business goals and drive value - Ability to address client concerns, reframe objections, and build trust with both technical and non-technical stakeholders. - Proven ability to work with sales, marketing, product, and engineering teams to align solutions with customer needs and market demands. - Familiarity with the AdTech ecosystem, including competing CTV and performance marketing platforms, as well as key players in measurement, audience data, and inventory. Benefits - 100% remote within the US - Flexible vacation policy - Annual vacation allowance for travel related expenses - Three-day weekend every month of the year - Competitive compensation - 100% healthcare coverage - 401k plan - Flexible Spending Account (FSA) for dependent, medical, and dental care - Access to coaching, therapy, and professional development Company Description MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue. Our solutions give advertisers total transparency and complete control over their campaigns all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including Tarte, Decked, and National University.

• Architect and implement end-to-end data solutions using Databricks Lakehouse Platform • Design and develop scalable data pipelines using PySpark, Spark, and SQL • Lead cloud data platform implementations on AWS/Azure/GCP • Drive modernization of legacy data systems to cloud-native architectures • Implement Medallion Architecture (Bronze, Silver, Gold layers) • Ensure data governance, security, and compliance (especially for Financial Services) • Collaborate with business stakeholders, data scientists, and engineering teams • Optimize performance, cost, and reliability of data pipelines • Mentor and guide data engineering teams and provide architectural leadership.

Role Description We are seeking an experienced Senior Databricks Architect to design and deliver scalable, high-performance data platforms for our Financial Services clients. The ideal candidate will have deep expertise in Databricks, cloud data architectures, and modern data engineering practices, with a strong focus on building governed, secure, and efficient data ecosystems. - Architect and implement end-to-end data solutions using Databricks Lakehouse Platform - Design and develop scalable data pipelines using PySpark, Spark, and SQL - Lead cloud data platform implementations on AWS/Azure/GCP - Drive modernization of legacy data systems to cloud-native architectures - Implement Medallion Architecture (Bronze, Silver, Gold layers) - Ensure data governance, security, and compliance (especially for Financial Services) - Collaborate with business stakeholders, data scientists, and engineering teams - Optimize performance, cost, and reliability of data pipelines - Mentor and guide data engineering teams and provide architectural leadership Qualifications - 12+ years of experience in Data Engineering / Data Architecture - Strong expertise in Databricks, PySpark, and Spark ecosystem - Hands-on experience with cloud platforms (Azure, AWS, or GCP) - Experience with data orchestration tools (Airflow, ADF, etc.) - Solid understanding of data modeling, ETL/ELT, and distributed systems - Experience with Delta Lake and Unity Catalog is a plus - Strong knowledge of Financial Services domain (Banking, Insurance, Capital Markets) - Excellent problem-solving and stakeholder management skills Requirements - Databricks certifications - Experience with real-time data processing (Kafka, streaming) - Exposure to AI/ML pipelines and MLOps - Knowledge of regulatory and compliance frameworks in Financial Services