Associate Director, Product Management (Data Platform)

August 31

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Precision Medicine Group

WebsiteLinkedInAll Job Openings

Moving Science Closer to Health

1001 - 5000

💰 $35.2M Venture Round on 2021-03

Description

• Lead product management of data platform’s components and drive product leadership. • Research and determine client and market needs for a SaaS based Biomarker Data Platform. • Create and manage a visual representation of the vision of the data platform. • Create data platform business architecture by decomposing product to components and features. • Collaborate with engineering and QA groups for discovery workshops. • Publish and manage data platform roadmaps that meets the stakeholder requirements and schedule. • Create and maintain channels for data platform features intake process. • Lead collaboration with Product QA to plan our test and validation release strategy specific to data platform. • Define and manage metrics framework for measuring data platform business goals.

Requirements

• Bachelor's degree in a related field; MBA or advanced degree preferred. • Minimum of 10 years of relevant experience in product/service/project/program management or software development, delivering large scale software products or services. • Minimum of 5 years of experience in managing teams. • 8 + years of experience in building data platforms with deep experience in data warehousing principles. • Strong experience in solutioning and creating business & data architecture for data ingestion, data quality, data transformation and data provisioning. • Experience in product management of building SaaS Platforms. • Experienced in creating product strategy & roadmaps. • Proven track record of working with technical teams and QA teams in building SaaS Product. • Excellent leadership and team-building skills, with a track record of managing and developing high-performing Business analyst teams. • Exceptional communication and interpersonal skills, able to convey complex Business technical strategies to both Business and technical stakeholders. • Analytical mindset with the ability to use data-driven insights to inform decisions. • Strong problem-solving abilities and the ability to make critical decisions in high-pressure situations.