POSITION TITLE : Data Engineering Product Manager
DURATION : Through 2024 (potential for extension)
REMOTE : Must be able to work EST hours (9 - 5 PM EST) may need to be available for early or late meetings based on the projects
Pay Rate : $69.10 / hr on W2 All Inclusive
The Onyx Research Data Platform organization represents a major investment by Client R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines.
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 Client s 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.
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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