Manager of Data Quality - Data Engineering Peacock
Manager of Data Quality - Data Engineering Peacock
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Salary Not Disclosed
1 Vacancy
Job Description
Our DirecttoConsumer (DTC) portfolio is a powerhouse collection of consumerfirst brands supported by media industry leaders Comcast NBCUniversal and Sky. When you join our team youll work across our dynamic portfolio including Peacock NOW Fandango SkyShowtime Showmax and TV Everywhere powering streaming across more than 70 countries globally. And the evolution doesnt stop there. With unequalled scale our teams make the most out of every opportunity to collaborate and learn from one another. Were always looking for ways to innovate faster accelerate our growth and consistently offer the very best in consumer experience. But most of all were backed by a culture of respect. We embrace authenticity and inspire people to thrive.
As part of the DirecttoConsumer Decision Sciences team the Manager of Data Quality will be responsible for overseeing a critical function that bridges data management with operational excellence. The role requires strong crossfunctional collaboration skills to effectively engage with software engineering data analytics and elements of machine learning to understand data quality requirements and deliver effective solutions.
In this role the Manager of Data Quality will share responsibilities in the development and operation of Data Quality monitors automation to optimization of data quality pipelines that facilitate deeper analysis and reporting by the business as well as support ongoing operations related to the Direct to Consumer data ecosystem. The candidate will act as a liaison between data engineering and other teams advocating for datadriven decision making and best operational practices.
Responsibilities include but are not limited to:
- Help manage a highperformance team of Data Quality Engineers and Data Quality Analysts
- Contribute to and lead the team in design build testing scaling and maintaining Data Quality monitors built inhouse as well as 3rd party products according to business and technical requirements.
- Evaluate and select appropriate technologies and tools for data quality monitoring ensuring alignment with organizational goals and industry best practices
- Help Data Engineering organization deliver observable reliable and secure data quality monitors embracing you build it you run it mentality and focus on automation and GitOps.
- Continually work on improving the codebase and have active participation and oversight in all aspects of the team including agile ceremonies.
- Take an active role in story definition assisting business stakeholders with acceptance criteria.
- Work with Data Engineering Directors to share and contribute to the broader technical vision.
- Develop and champion best practices striving towards excellence and raising the bar within the department.
- Research methods of data anomaly detection using broad range of techniques including statistical and Machine Learning
Qualifications :
- 5 years relevant experience in Data Engineering or Data Analytics or Machine Learning
- Strong leadership skills with the ability to lead and mentor a team of data engineers Experience in using techniques such as infrastructure as code and CI/CD
- Experience with graphbased data workflows using Apache Airflow
- Programming skills in one or more of the following: Python Java Scala R and experience in writing reusable/efficient code to automate analysis and data processes Experience in processing large volumes of data using parallelism techniques/tooling such as Apache Spark
- Experience in processing structured and unstructured data into a form suitable for analysis and reporting with integration with a variety of data metric providers ranging from advertising web analytics and consumer devices
- Experience in basic Machine Learning techniques is a big plus
- Experience with working in large scale SQL
- Understanding of pillars of Data Quality: Completeness Timeliness Validity Uniqueness Consistency Accuracy (or similar)
- Bachelors degree with a specialization in Computer Science Engineering Physics other quantitative field or equivalent industry experience.
Desired Characteristics
- Experience with largescale video assets
- Ability to work effectively across functions disciplines and levels
- Teamoriented and collaborative approach with a demonstrated aptitude enthusiasm and willingness to learn new methods tools practices and skills
- Ability to recognize discordant views and take part in constructive dialogue to resolve them
- Pride and ownership in your work and confident representation of your team to other parts of NBCUniversal
Additional Requirements:
Hybrid: This position has been designated as hybrid generally contributing from the office a minimum of three days per week.
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. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $130000$170000 (bonus and longterm incentive eligible).
Additional Information :
As part of our selection process external candidates may be required to attend an inperson interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversals 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 and require support throughout the application and/or recruitment process as a result of your disability you have the right to request a reasonable accommodation. You can submit your request to .
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
