POSITION TITLE: Senior Product Manager, Data Governance Products

HOURLY PAY: $86.75

DURATION: Through the end of 2024

100% REMOTE - Candidate must be located in Upper Providence, Philadelphia, Boston or New Jersey

About the Company:

The Onyx Research Data Platform organization represents a major investment by our 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 the company'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

About the Role:

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, computational data governance and data-powered applications.

Responsibilities:

Develop and execute a comprehensive product roadmap for computational data governance (accessibility, security, quality and compliance), with a focus on building robust cloud-based data governance solutions for enterprise internal customers.
Partner closely with Onyx's cross-functional team of product managers, engineers, and data governance specialists to create and maintain high-quality, scalable, and secure computational data governance products tailored to meet the specific needs of enterprise internal stakeholders.
Conduct in-depth user research and analysis to identify the unique data governance requirements of enterprise customers, aligning product development roadmap accordingly.
Collaborate closely with enterprise leadership and internal stakeholders to understand their data governance challenges and requirements; partner with the Program Management team to ensure the delivery of tailored solutions that meet customer's strategic objectives.
Serve as the technical SME (subject-matter expert) and participate in the strategic development of enterprise data governance policies; ensure the Onyx data governance products adhere to industry standards and regulatory compliance, fostering a culture of data security and integrity within the organization.
Continuously assess product performance and gather feedback from enterprise internal customers, leveraging insights to drive iterative improvements and enhancements to the computational data governance products.
Foster strong relationships with key stakeholders and cross-functional teams to ensure seamless integration and adoption of data governance solutions across different departments and business units.

Qualifications:

Minimum Level of Education: Bachelors' Degree

Area of Specialization: Data Management, Computer Science/Software Engineering, or related discipline - Specialized knowledge in data management, software implementation, etc is needed to manage Onyx products.

Preferred Qualifications:

Level of Education: Master's or PhD

Area of Specialization: Data Management, Computer Science/Software Engineering, DevOps or related discipline Engineering, Cloud Infrastructure, cloud computing or related discipline - Specialized knowledge in data management, software implementation, cloud computing, etc is needed to manage Onyx products.

Minimum Level of Job-Related Experience Required:

PhD + 2 years, Masters + 4 years, or Bachelors + 6 years

At least 2 years of experience with enterprise data management or cloud data product management, preferably in life science industry.

Additional Requirements:

Extensive knowledge of computational data governance, data security, compliance regulations, and industry best practices.
Strong understanding and hands-on experience with the implementation and management of data governance tools such as Collibra, Informatica, or Alation.
Proficiency in utilizing data security tools and platforms such as Varonis, Imperva, or Symantec for ensuring comprehensive data protection and access control.
Experience in utilizing cloud-based data governance solutions, including Open Policy Agent (OPA), Gatekeeper, AWS Data Governance tools, Google Cloud Data Catalog/DataPlex, or Microsoft Azure Purview, to manage and govern data across various cloud environments.
Familiarity with data classification tools like Titus, Boldon James, or Microsoft Information Protection to categorize and label sensitive data effectively.
Demonstrated expertise in utilizing data lineage tools such as MANTA, Octopai, or erwin to track the origin and movement of data within complex computational environments.
Proficiency in working with metadata management tools like SAP Data Intelligence, IBM InfoSphere, or Apache Atlas to ensure the quality and reliability of metadata across diverse data sets.
Proven ability to manage multiple business stakeholders, including effectively engaging and aligning with enterprise senior leadership to drive data governance initiatives and strategies in line with the overall organizational goals.
Excellent communication and interpersonal skills with the ability to motivate and guide cross-functional teams effectively.
Exceptional strategic thinking and problem-solving abilities, coupled with a keen eye for detail and a commitment to delivering high-quality products.
Demonstrated experience in product development, market analysis, and product lifecycle management within the technology sector.
Proven ability to thrive in a fast-paced, dynamic work environment and manage multiple projects simultaneously.

Life science and/or healthcare industry data governance experience is strongly preferred.

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