Head of Data

Job Title: Head of Data

 

Location:

[Location] (Opportunities for remote/hybrid/flexible work available)

 

Reports to:

Chief Technology Officer (CTO)

 

 

Role Purpose

We are seeking an experienced Head of Data to join our team at [Company Name] in [Location]. This role offers the opportunity for remote work arrangements. As the Head of Data, you will play a crucial role in shaping our data strategy and leveraging data insights to drive business growth.

 

The Head of Data is responsible for overseeing all data-related functions, including data management, analytics, and governance. The role aims to enhance data-driven decision-making across the organization and to ensure the integrity and accessibility of our data assets.

 

 

Company Overview

Summarise your company and it’s culture.[e.g. [Company Name] is a leading AI technology company specializing in developing advanced artificial intelligence solutions for [specific industry or application]. Our mission is to [company mission]. We foster a collaborative and inclusive work environment that encourages creativity and professional growth.] Include USPs and technical innovation or focus that will appeal to the ideal candidate [e.g. Recognized as one of the "Best Places to Work" by [Awarding Body], we are committed to excellence in AI technology.]

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Key Responsibilities

• Develop and Implement Data Strategy: Create a comprehensive data strategy that aligns with the company's objectives, focusing on data acquisition, storage, analysis, and dissemination.

• Lead Data Team: Manage and mentor a team of data professionals, including data scientists, analysts, and engineers. Foster an environment that encourages continuous learning and improvement.

• Data Governance and Compliance: Establish data governance frameworks to ensure data quality, integrity, and security. Ensure compliance with all relevant data protection regulations such as GDPR and CCPA.

• Analytics and Insights: Utilize advanced analytics techniques to transform raw data into meaningful insights. Provide actionable recommendations to support business decision-making processes.

• Technology and Infrastructure Management: Oversee the selection and implementation of data tools and technologies. Ensure that the data infrastructure supports current and future analytics needs.

• Cross-Functional Collaboration: Work closely with other departments to identify data needs and opportunities. Promote data literacy and advocate for data-driven approaches across the organization.

• Budget and Resource Management: Manage the data department's budget, ensuring resources are allocated effectively to meet strategic goals.

• Risk Management: Identify potential risks related to data security and implement measures to mitigate them. Develop disaster recovery plans to protect data assets.

• Performance Monitoring: Set key performance indicators (KPIs) for data initiatives. Monitor and report on the performance of data projects to stakeholders.

• Vendor Management: Evaluate and manage relationships with external data vendors and service providers to ensure they meet organizational standards and objectives.

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Required Skills and Qualifications

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Experience: Minimum of [X] years of experience in data management and analytics, with at least [X] years in a leadership role.

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Technical Proficiency:

• Expertise in programming languages such as SQL, Python, and R.

• Experience with big data technologies like Hadoop, Spark, and NoSQL databases.

• Proficiency in data visualization tools like Tableau, Power BI, or Looker.

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

• Data Governance Knowledge: Strong understanding of data governance principles, data quality management, and regulatory compliance requirements.

• Analytical Skills: Exceptional ability to analyze complex data sets and translate findings into strategic initiatives.

• Leadership Abilities: Proven track record of leading and developing high-performing teams of [size]. Excellent project management skills.

• Communication Skills: Strong verbal and written communication skills. Ability to present complex information clearly to both technical and non-technical audiences.

• Strategic Thinking: Ability to align data initiatives with business objectives and anticipate future data needs.

• Problem-Solving Skills: Proactive in identifying issues and developing innovative solutions.

• Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.

• Certifications: Relevant certifications such as Certified Data Management Professional (CDMP) or Certified Analytics Professional (CAP) are a plus.

• Interpersonal Skills: Strong collaboration skills with the ability to work effectively across different teams and departments.
   

Perks and Benefits:

Clearly outline the benefits and perks of the role.
 

How to Apply:

End with a strong call to action encouraging candidates to apply. Include a direct link to the application page and provide contact information for further queries.

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Please ensure each job description includes all relevant information in compliance with local, state, and national laws. This includes:

 

• Salary Information: Provide a clear salary range to maintain transparency and meet legal requirements.

• Privacy Policies: Protect candidate privacy by following all applicable data protection and privacy laws.

• Equality & Non-Discrimination: Include an equal opportunity statement to uphold our commitment to a diverse, inclusive workplace that does not discriminate based on race, gender, age, disability, or any other protected characteristic.

• Accessibility: Make reasonable accommodations available for candidates with disabilities and include information on how they can request assistance throughout the hiring process.

• Environmental and Social Responsibility: If your company has sustainability initiatives or community engagement programs, mentioning them briefly can attract candidates who prioritize working for socially responsible employers.

• Transparent Hiring Process: Briefly explain the hiring process (e.g., “Our interview process typically includes three stages: an initial screening, a technical interview, and a final interview”) to help candidates know what to expect.

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