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Job Details



Data Engineering Product Manager  Durham, NC  Posted: 10/8/2024
Job Description

Job ID#:

8053


Alphanumeric is hiring a DATA ENGINEERING PRODUCT MANAGER to work in the Research Triangle Park, NC area with our client of 20 years committed to improving lives through medical and pharmaceutical advancements

We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:

- Building a next-generation data experience for scientists, engineers, and decision-makers, increasing productivity and reducing time spent on 'data mechanics'
- Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent
- Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time

Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user-facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and multi-omics applications.

We are seeking a skilled and experienced
Product Manager for our Data Engineering products. In this role, you will be responsible for developing and executing the product strategy of our Data Engineering products to meet the customer needs. You will partner closely with the leaders of Onyx's engineering teams (DevOps and Infrastructure, AI/ML analysis and computing platform, data & knowledge platform, data engineering, UI/UX engineering), along with the Onyx portfolio management team, to deliver industry-leading Data Engineering products that power downstream consumption of petabytes of business-critical data. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of Data Engineering products. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx platform products.
 

 
Job Requirements

 

EDUCATION/JOB-RELATED EXPERIENCE:

Masters + 2 years
Bachelors + 4 years

At least 2 years of experience Data Engineering and/or cloud infrastructure product development or management


TECHNICAL KNOWLEDGE:

- Proficiency with modern software development tools / ways of working (e.g. git/GitHub, Docker, DevOps tools, metrics / monitoring, CI/CD, etc.).
- Strong understanding of data engineering tools (Spark, Airflow, PySpark, Kafka, Hive, SQL/NoSQL…); working with at least one programming language (Python, Java, or Scala).
- Familiarity with cloud computing environments, including but not limited to GCP (Preferred), Azure, and AWS.
- Experience working in agile software development environments, utilizing tools like Jira and Confluence.
- Familiar with metadata management and data governance concepts.
- Familiarity with life science/biological data is a plus.

EXPERIENCE:

- 2+ years of experience in product management, with a focus on data engineering products.
- Demonstrated success in launching and managing high-stakes enterprise engineering products for bioinformatics, data science, AI/ML, and analytics data consumption.
- Strong analytical and problem-solving skills, with the ability to make data-driven decisions.

SKILLS:

- Strong leadership abilities and a self-driven, proactive approach.
- Excellent communication, collaboration, and stakeholder management skills.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. 




 

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