Data Governance & Strategy Lead

Blend360 - Columbia, MD

Full-time - Senior

Columbia, MD

Administrative and Support Services

About the position

As the Data Governance and Strategy Leader at BLEND360, you will be instrumental in shaping and executing our data governance framework and strategy. This role is pivotal in ensuring that our practices align with industry best practices and regulatory requirements, making it essential for the success of our data initiatives. You will be expected to develop and implement a comprehensive data governance framework that supports the organization's strategic objectives and enhances client engagements. Your expertise in Master Data Management (MDM) will be crucial as you drive data governance initiatives and contribute to thought leadership within the AI and data consulting space. In this position, you will define and enforce data policies, standards, and processes to ensure data integrity, privacy, and compliance across all projects. Collaboration will be key, as you will work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to establish data governance practices that enhance data quality and foster trust in the data. You will lead the design and implementation of data governance processes that facilitate efficient data management and informed decision-making. As a subject matter expert on data governance and strategy, you will provide guidance and mentorship to internal teams and clients, helping them navigate the complexities of data governance. You will also drive thought leadership initiatives through white papers, blogs, speaking engagements, and participation in industry events, promoting the firm's expertise in AI and data governance. Staying abreast of industry trends, regulatory changes, and emerging technologies related to data governance and AI will be essential, as you will integrate these insights into our service offerings and client solutions. Additionally, you will partner with sales and marketing teams to develop data governance service offerings, support proposal development, and contribute to client presentations.

Responsibilities

• Develop and implement a comprehensive data governance framework that supports the organization's strategic objectives and client engagements.
• Define and enforce data policies, standards, and processes to ensure data integrity, privacy, and compliance across all projects.
• Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to establish data governance practices that enhance data quality and trust in the data.
• Lead the design and implementation of data governance processes to facilitate efficient data management and decision-making.
• Serve as a subject matter expert on data governance and strategy, providing guidance and mentorship to internal teams and clients.
• Drive thought leadership initiatives through white papers, blogs, speaking engagements, and participation in industry events to promote the firm's expertise in AI and data governance.
• Stay abreast of industry trends, regulatory changes, and emerging technologies related to data governance and AI, integrating these insights into our service offerings and client solutions.
• Partner with sales and marketing teams to develop data governance service offerings, support proposal development, and contribute to client presentations.

Requirements

• Proven experience in a leadership role focused on MDM, data governance, strategy development, and quality within a consulting or technology-driven organization.
• Deep understanding of data governance frameworks, regulatory requirements (e.g., GDPR, CCPA), and best practices in master data management.
• Strong technical background in data architecture, data quality management, and data privacy principles.
• Excellent communication skills with the ability to convey complex concepts effectively to both technical and non-technical audiences.
• Strong client-facing experience with the ability to build and maintain relationships at all levels.
• Demonstrated ability to lead cross-functional teams and influence stakeholders at all levels of an organization.
• Advanced degree in Data Science, Computer Science, Information Management, Business Administration, or related field preferred.