Data Owner Lead- Vice President

You are a strategic thinker passionate about promoting solutions in Data Governance—and you’ve found the right team.

As a Data Owner Lead- Vice President within the Chief Data & Analytics Office (CDAO), you are a strategic thinker passionate about promoting solutions in Data Governance.

Job responsibilities:

• Implement strategic plans to deliver data solutions that effectively support business operations and strategic objectives, to align with organizational goals
• Manage the execution of projects and related milestones, understand and mitigate risks, bottlenecks, and inefficiencies throughout the project/initiative
• Collaborate with key partners to ensure that critical data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control
• Document comprehensive requirements for data sourcing, content and quality, and coordinate with technology and business partners to ensure timely, complete, and accurate data
• Develop and oversee processes to identify, monitor, and mitigate data risks throughout the data lifecycle, addressing issues related to data protection, retention, storage, use, and quality
• Support data analytics and products by identifying and governing data required to be integrated into analytics platforms to support analytics projects
• Communicate and resolve data issues in a timely and consistent manner, maintaining data integrity and consumer trust

Required qualifications, capabilities and skills:

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field
• 12+ years of experience in data management, data governance, risk management/analytics, or a related field
• Proven leadership track record, demonstrated ability to manage delivery timelines, and ensure the organization is on track to meet goals
• In-depth understanding of data management principles, governance frameworks, and lifecycle management, including data protection, data quality and data classification
• Excellent analytical and problem-solving skills, translating complex data concepts into business strategies
• Strong communication skills, effectively conveying data concepts to technical and non-technical stakeholders, as well as senior audiences
• Strong leadership skills with experience in managing and mentoring cross-functional teams and proven ability to build and maintain relationships with key stakeholders and manage large-scale data projects

Preferred qualifications, capabilities and skills:

• Experience with cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud.
• Familiarity with advanced analytics, machine learning, or artificial intelligence applications in a business context
• Knowledge of query or analytical programming languages
• Experience in leading digital transformation initiatives that leverage data to drive business innovation and efficiency