CoinDesk is the most trusted media, events, indices and data company for the global crypto economy. Since 2013, CoinDesk Media has led the story of the future of money and investing, illuminating the transformation in society and culture that comes with it. Our award-winning team of journalists delivers news and unparalleled insights that bring transparency, comprehension and context. CoinDesk Events gathers the global crypto, blockchain and Web3 communities at annual events such as Consensus, the world’s largest and longest-running crypto festival. CoinDesk Indices offers expertise in digital asset indices, data and research to educate and empower investors. For more information on CoinDesk media and events, please visithttp://coindesk.com [coindesk.com]and for breaking headlines, data and indices visithttp://coindeskmarkets.com[coindeskmarkets.com]
In November 2023, CoinDesk was acquired by the Bullish group, owner of Bullish, a regulated, digital assets exchange. For more information on Bullish, please visit https://bullish.com . CoinDesk operates as an independent subsidiary with an editorial committee to protect journalistic independence.
Reports to:Vice President, Engineering
We're looking for a strategic, results-oriented Head of Data to lead our data-driven initiatives. You'll be responsible for defining our company's data vision, strategy, and governance. The ideal candidate is a senior business leader with a strong technical background who can effectively leverage data to drive business value and partner with the data engineering leads.
Role & Responsibilities
- Define and execute a comprehensive data and analytics strategy that aligns with and drives key business outcomes, such as revenue growth, operational efficiency, and customer experience.
- Establish, implement, and enforce robust data governance policies and standards to ensure data quality, integrity, and security. Ensure full legal adherence to data privacy laws like GDPR and CCPA by working closely with the Data Protection Office.
- Lead, mentor, and grow a multi-disciplinary team of data scientists and data analysts. Foster a culture of high performance, innovation, and continuous learning.
- Act as a primary liaison with C-level executives and department heads to identify and prioritize data needs. Translate complex data insights into clear, actionable business recommendations for non-technical stakeholders.
- Use data analytics to evaluate potential merger and acquisition targets, assessing the value of their data assets, technical integration challenges, and potential synergies.
- Champion a data-driven culture across the company by promoting data literacy and encouraging data-informed decision-making.
- Partner closely with the data engineering leads to ensure the data strategy is supported by the underlying technical infrastructure. Provide clear requirements and collaborate on the roadmap for the data/AI/ML platform.
- Drive the adoption of cutting-edge methodologies, such as AI and ML, to unlock new business value from our data assets.
Experience / Qualifications
- 12 + years of experience in data-related roles, with at least 2 years in a senior leadership position (e.g., Head of Data, Director of Data Science).
- Proven experience developing and executing a data strategy that directly impacted business growth and operational efficiency.
- Demonstrated ability to build, lead, and mentor high-performing teams of data scientists and data analysts.
- Demonstrated experience and interest in the crypto and/or finance domains.
- Demonstrated experience in guiding businesses through M&A transactions, with a focus on developing and implementing a strategy for the consolidation of data functions and assets across business units.
- Deep understanding of modern data technologies, including cloud platforms (AWS, Azure, GCP), databases, and data warehousing concepts.
- Well-versed in industry practices for effective data engineering.
- Proven experience in transitioning from centralized data teams to enabling data platforms.
- Demonstrated ability to apply AI/ML techniques to data, generating insights that directly influence business strategy and outcomes.
- Familiarity with a range of data lake ecosystems (Databricks, Snowflake) and big data technologies (Kafka, Flink, Spark, Presto, Druid).
- Familiarity with various types of databases (Redis, Postgres, MongoDB, BigQuery).
- Exceptional communication and presentation skills, with the ability to translate complex data findings into clear business insights for C-level executives and other non-technical stakeholders.
- Proven ability to collaborate with engineering, product, and other business units to achieve shared goals.
- A strong sense of ownership and dedication to the team's mission, with a product-focused and user-centric mindset.
- Ability to operate and thrive in a dynamic startup environment.
EQUAL OPPORTUNITY
In an effort to attract, retain, develop and promote the most qualified individuals, CoinDesk is committed to treating all applicants and employees in a nondiscriminatory manner with respect to the terms and conditions of employment, without regard to race, color, religion or belief, sex, national or ethnic origin, ancestry, age, marital status, sexual orientation, gender identity, veteran status/service, physical or mental disability, or any other classification protected by applicable law. This mandate governs all aspects of employment, including recruitment, selection, promotion, training, education, social and recreation programs, compensation, discipline, termination and access to benefits.
ACCOMMODATION
CoinDesk is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application process, please send an e-mail torecruiting@coindesk.comand let us know the nature of your request.
