Develop and implement a comprehensive data management strategy that aligns with the companyβs product vision and business objectives.
Lead and mentor a team of data professionals, fostering a culture of innovation, collaboration, and continuous improvement.
Collaborate with cross-functional teams, including product management, engineering, pricing, marketing, and sales, to ensure data-driven decision-making.
Data Governance and Quality:
Establish and enforce data governance policies and best practices to ensure data accuracy, consistency, and security.
Oversee the development and maintenance of data standards, documentation, and metadata management.
Monitor and improve data quality through regular audits and validation processes.
Analytics and Insights:
Drive the development and implementation of advanced analytics and reporting tools to provide actionable insights for product development and business strategy.
Identify key performance indicators (KPIs) and metrics to measure product success and inform decision-making.
Utilize data analytics to identify market trends, customer behaviors, and opportunities for product innovation.
Technology and Tools:
Evaluate and implement data management technologies and tools to enhance data collection, storage, and analysis capabilities.
Stay current with industry trends and emerging technologies to ensure the company remains at the forefront of data management practices.
Stakeholder Engagement:
Communicate data-driven insights and recommendations to senior leadership and other stakeholders.
Build strong relationships with internal and external partners to drive data initiatives and support business goals.
Qualifications:
Bachelorβs degree in Data Science, Computer Science, Information Management, or a related field; advanced degree preferred.
10+ years of experience in data management, analytics, or related roles, with at least 5 years in a leadership position.
Proven experience in developing and implementing data management strategies and governance frameworks.
Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels.
Proficiency in data management tools and technologies, such as SQL, Python, R, and data visualization platforms.