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Data Engineering Product Manager at LanceSoft, Inc.

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
North Carolina (USA), United States

Offer summary

Qualifications:

Masters degree with 2 years experience, or Bachelors plus 4 years, At least 2 years of experience in Data Engineering and/or cloud infrastructure product development.

Key responsabilities:

  • Develop and execute product strategy for Data Engineering products
  • Partner with engineering leaders and portfolio management team to deliver industry-leading products
  • Drive product roadmap, guide development initiatives, ensure successful launch and adoption
  • Facilitate joint planning and execution of the product roadmap, balance strategic development and customer-facing deliverables
  • Devise, track, and publicize metrics measuring the impact and performance of Onyx platform products
LanceSoft, Inc. logo
LanceSoft, Inc. XLarge https://www.lancesoft.com/
1001 - 5000 Employees
See more LanceSoft, Inc. offers

Job description

Role: Data Engineering Product Manager
Location: REMOTE: Must be able to work EST hours (9 - 5PM EST) may need to be available for early or late meetings based on the projects
Duration: Through 2024 (potential for extension)

Description:
The Onyx Research Data Platform organization represents a major investment by client’s 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/Client 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/Client 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/Client 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

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Other Skills

  • Analytical Thinking
  • Strategic Planning
  • Verbal Communication Skills
  • Collaboration

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