What are the responsibilities and job description for the Data Governance & Strategy Lead position at Blend?
Company Description
BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.
Job Description
As the Data Governance and Strategy Leader, you will play a critical role in shaping and executing our data governance framework and strategy, ensuring alignment with industry best practices and regulatory requirements. This role is ideal for a visionary leader with past experience in Master Data management (MDM), who excels in driving data governance initiatives while also contributing to thought leadership within the AI and data consulting space. The right candidate will know how to engage clients and articulate the value of improving the quality of data to enable AI applications, transparent decisioning and trustworthy metrics.
Responsibilities
BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.
Job Description
As the Data Governance and Strategy Leader, you will play a critical role in shaping and executing our data governance framework and strategy, ensuring alignment with industry best practices and regulatory requirements. This role is ideal for a visionary leader with past experience in Master Data management (MDM), who excels in driving data governance initiatives while also contributing to thought leadership within the AI and data consulting space. The right candidate will know how to engage clients and articulate the value of improving the quality of data to enable AI applications, transparent decisioning and trustworthy metrics.
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 process 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.
- 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.
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