Director of Data Job Description Template

We are hiring for a Director of Data to solve problems in customer experience and data management. You will be responsible for pulling data and implementing automated reporting processes. The Director of Data position plays a crucial role within the information management and analytics team, supporting data governance, data quality, metadata capture, and all other aspects of data management. We are searching for a dynamic, strategic thinker with knowledge of both technical and commercial aspects of data management. This person’s main duty will be to collaborate with business teams to drive change, promote the adoption of data management principles, and create results that enhance our data quality, efficiency, insights, and capacity to address business problems. To ensure that data quality requirements are understood, planned for, attained and reported on in terms of compliance, the individual must have a delivery mindset and collaborate with the execution teams. This individual will be essential as we transition from concept to implementation in the area of data quality. 

Typical Duties and Responsibilities

• Ensure that data quality requirements are routinely satisfied and represented in our key performance KPIs by influencing the delivery of numerous execution/agile teams
• Create curriculum, job aids, and training materials to use with our agile teams to emphasize the significance of data quality at every phase of our development life cycle
• Participate in and influence the development of a data quality roadmap that optimizes people, processes, and technology to raise our data quality maturity level 
• Proactively offer advice on ownership and stewardship of important projects, as well as on critical quality acceptance standards such correctness, timeliness, validity, completeness, utilization, and availability of data
• Undertake complicated data profiling and data quality analysis and convey results clearly to help business understanding of problems and effects
• Support the development of the roles and duties of our data stewards and business owners
• Work with partners to submit and examine any governance artifacts
• Assure that information and data are handled in line with accepted laws, rules, and policies
• Assist with the establishment, upkeep, and control of taxonomies, ensuring they are applicable to content and/or data
• Encourage the application of metadata standards by supporting awareness and training for agile teams
• Create data transformation rules, data lineage documentation, and metadata documentation for important programs and initiatives
• Create a model for reference data management
• Actively spread awareness of programs across the organization while promoting a value proposition and culture for knowledge sharing
• Collaborate with other departments, divisions, or projects to achieve shared goals

Education

• Bachelor’s degree in computer science, data science or a related field

Required Skills and Experience

• 5+ years of relevant analytics or data management expertise
• Expertise with data analysis/querying software like Python, SAS, or SQL
• Knowledge of programming languages, tools, and methodologies for data management
• Knowledge of the capabilities of data quality, such as profiling, rules generation, validation, outlier detection, monitoring, alerting & notification, and stewardship workflow for data remediation
• Practical experience using data quality products including Talend, Abinitio, IBM InfoSphere, and Informatica
• Experience creating data quality standards, guidelines, and best practices and applying them into governance practices
• Demonstrated understanding of business rules, data linkages, and overall data models
• Strong analytical abilities with the capacity to gather, arrange, organize, and communicate a substantial amount of information with accuracy and attention to detail
• Prior leadership experience with increasing levels of responsibility
• Expertise in data and analytics
• Ability to clearly convey ideas, designs, and concepts and to modify communication according to the audience
• Ability to make a compelling argument for change by combining storytelling, data visualization, and data management expertise.
• Effective written and verbal communication and active listening skills
• Ability to identify and analyze data and business problems of moderate complexity on their own
• Ability to manage risks, pinpoint problems, find solutions, and escalate problems as required