Data Product Manager

Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries.

Join an innovative team to ride the rapidly-evolving and highly dynamic wave of AI, ML, and Generative AI. We are seeking a Data Product Manager to drive the strategy, development, and execution of our data products. In this role, you will work at the intersection of data, technology, and business to build scalable and durable data solutions that drive insights, innovation, and business growth. You will oversee the development of a data product portfolio, ensuring that products are consumption-ready, kept up to date, and approved for use. You will collaborate with data engineers, analysts, and business stakeholders to ensure our data products deliver maximum value.
The Data Product Manager is responsible for conceiving and planning how data products will be consumed, ensuring alignment with business needs. This role involves collaborating with partners to ensure compliance with regulatory, security, and data governance requirements while defining nonfunctional requirements such as shareability, reusability, concurrency of access, performance, refresh rate, etc. The Data Product Manager works closely with existing teams like data owners, stewards, and custodians for optimal product delivery of data products such as Customer and Employee for Master Data, and Cash Forecasting for Insights-based analytics.

LOCATION:
Role provides the opportunity to work in hybrid environment, working both virtually and in office when required.

ESSENTIAL:

• Define the vision, roadmap, and strategy for data products to align with business goals..
• Collaborate with data engineers, scientists, analysts to develop and enhance data platforms, APIs, and analytical tools.
• Manage the end-to-end product lifecycle from ideation to development and iteration.
• Translate business needs into detailed product requirements ensuring usability and scalability.
• Establish KPIs to measure success and impact of data products.
• Ensure compliance with data privacy/security policies while maintaining high standards of data governance.
• Act as a liaison between technical and non-technical teams, effectively communicating data capabilities and opportunities.
• Stay updated on industry trends, emerging technologies, and best practices in data management, AI/ML, and analytics.

REQUIRED:

• Bachelor's degree in Computer Science, Information Technology, or a related field
• 3-5 years relevant experience in product management, data analysis, or a related role
• Experience with Agile development methodologies
• Excellent communication and stakeholder management skills
• Strong understanding of data science techniques and data engineering processes
• Ability to learn new technologies and tools quickly and work in a collaborative team environment

DESIRED:

• Experience with Business Intelligence tools (e.g., Power BI, Tableau), and cloud platforms (e.g., Azure, AWS).
• Experience with Generative AI tools like Microsoft Copilot and Open AI.
• Experience with data monetization.
• Exposure to data governance, security practices, and best practices for managing data products.
• PMP certification.
  

KNOWLEDGE, SKILLS, ABILITIES, AND OTHER CHARACTERISTICS:

• Good communication skills to collaborate effectively with both technical and non-technical teams.
• Broad understanding of data science, data engineering, AI, and machine learning.
• High attention to detail to ensure data integrity and quality.
• Strong strategic thinking and problem-solving skills.
• Ability to lead cross-functional teams and drive data initiatives.
• Comfortable working in a fast-paced environment and managing multiple tasks simultaneously.
  

This position is Hybrid - Remote and will require commuting to a designated office. Hybrid work schedules are determined by the hiring manager based on business need.

Pay, Benefits, & Work Schedule
We offer a comprehensive and competitive benefits package. Employee benefits vary by role, however, may include Health and Wellness, Mental Health, Retirement Savings, Life and Disability, Paid Maternity and Parental Leave, Paid Time Off, Tuition Reimbursement, and an Employee Assistance Program.

All qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity,national origin, veteran status,disability, genetic information, or other non-merit factors.

Regular full-time employees who apply will be considered along with external candidates. Employees with less than six months with their current position are not eligible to apply for job postings. Please discuss your interest in the position with your current manager/supervisor prior to submitting your completed application. It is highly recommended to apply through the PeopleSoft or Oceanet portals.