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.