Sr Manager, Data Engineering

About the position

As part of the global Operations & Technology organization, the Data & Analytics team (D&A) is focused on data and analytics strategies for the future. We support NBCU’s vast portfolio of brands - from broadcast, cable, news, and sports networks to film studios, world-renowned theme parks and a diverse suite of digital properties. As the Sr Manager of Data Engineering, you'll lead exciting technical projects and manage budgets from start to finish, while transforming our internal engineering teams into efficient, scalable, and reliable forces. You're perfect for this role if you have a background in proactively removing impediments from the group, understanding the importance of clear communication, and is able to provide relevant reporting at both the team and executive level. Here you can create the extraordinary. Join us!

Responsibilities

• Thinking like a Data Engineer to help discover, design & build Data Engineering initiatives
• Manage and mentor a team of data engineers and managers to foster a culture of collaboration, innovation, and continuous learning.
• Manage budgets, vendors, resources & delivery of large, high-impact programs aimed at improving operational efficiencies for Data Engineering.
• Develop close working relationships with stakeholders to identify functional requirements for the data lakes, data warehouse, reports, and final data products.
• Ensure all technical projects are understood, documented, and progressing with complete visibility of all budgets, timelines, status, progress, dependencies, risks, opportunities, etc.
• Ensure all work is captured, vetted, planned, and tracked within JIRA, according to established practices
• Help the product teams and development teams achieve their goals aligned with program roadmaps and initiatives
• Lead development teams in self-organization, time, budget management and workload balance
• Define project roadmaps: ensure all milestones are met, risk is communicated, and data quality is never compromised.
• Prioritize department project work, delegate responsibilities effectively and ensure accountability
• Leverage prototyping methodologies to propose and design creative business solutions that exploit our broad toolset of technologies.
• Collaborate with the IT platform, infrastructure, and architecture teams in introducing and integrating new analytics/data tools into the organization.
• Participate in the department’s data governance initiatives: assist in developing, promoting, and enforcing documentation, data standards and quality in the Data & Analytics programs.
• Organize and socialize metadata resources, such as data lineage documents, data mappings, data dictionaries, training documents, knowledge base/wiki, etc.
• Coordinate final production releases with project team, platform teams, business team ensuring communications, release notes

Requirements

• Bachelor's degree in engineering, Computer Science, Information Systems, or related field with Strong Computer Science/Engineering/Information Systems background
• 8+ years of progressive experience in solution development building of data Engineering products
• 8+ years in data warehousing projects with at least 6 years of full life cycle experience in implementation and support of DW Solutions
• 8+ years of experience with SQL or other data discovery/analysis platforms in a capacity supporting day-to-day operations.
• 8+ years of experience in a business-facing data engineering role and proven track record of related success
• 6+ years of work experience in system design and development using various tools and technologies.
• Demonstrated experience in the following: Python, SQL, AWS, Snowflake, Big query, S3, Glue catalogue, Athena, airflow, etc.
• Experience in Data Modelling, Data Architecture, Data Quality, Metadata, ETL and Data Warehouse methodologies and technologies.
• Proven ability to architect and design a large-scale data solution that allow rapid ingest, processing and responsive interaction with massive data sets.
• Experience leading and managing multiple teams – preferably in the data engineering space.
• Experienced with leading projects in highly collaborative, multi-disciplinary development teams.

Nice-to-haves

• 6+ years of experience directly managing and developing workflow, Agile, or ITSM management systems.
• Experience with data visualization tools (Tableau, Power BI, etc.)
• Know about the value of metrics and incremental delivery.
• Communicator – You have excellent verbal and written skills with the ability to communicate ideas effectively across all levels of the organization, both technical and non-technical
• Action-oriented – You're constantly figuring out new problems and are regularly showing results with a positive attitude, always displaying ethical behaviour, integrity, and building trust
• Strong understanding of Agile principles and best practices
• You’ve dealt with ambiguity and can make quality decisions in a dynamic, fast-paced environment
• Strong analytical focus, results-oriented and execution driven, with the ability to align technology developments with the generation of potential competitive business advantage.
• Ability and desire to work within a cross-functional team environment with people from multiple business units, vendors, countries, and cultures.
• Demonstrates good personal time management skills, including punctuality, time reporting and completion of assigned tasks within agreed time frames.
• Committed and solution focused with the ability to perform under pressure and meeting targets.

Benefits

• medical, dental and vision insurance
• 401(k)
• paid leave
• tuition reimbursement
• a variety of other discounts and perks