Senior Engineering Manager, Data Analytics – Data & AI at Kraken.com

BUILDING THE FUTURE OF CRYPTO  Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. What makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the Kraken Culture [Upgrade to PRO to see link] page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here [Upgrade to PRO to see link] As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security [Upgrade to PRO to see link] crypto education [Upgrade to PRO to see link] and world-class client support [Upgrade to PRO to see link] through our products like Kraken Pro [Upgrade to PRO to see link] Desktop [Upgrade to PRO to see link] Wallet [Upgrade to PRO to see link] and Kraken Futures [Upgrade to PRO to see link] Become a Krakenite and build the future of crypto! Employer: Payward Operations LLC (dba Kraken) Position: Senior Engineering Manager, Data Analytics – Data & AI Job Location: 1603 Capitol Ave, Suite 517B, Cheyenne, WY 82001 Duties: Drive decision making in building cutting-edge products. Transform large datasets from complex systems, generate actionable insights, and share the results with stakeholders at all levels of the company. Partner and lead projects with product management, engineering, client engagement, finance, and other enterprise level teams. Build out analytics and management report dashboards by collaborating closely with directors and cross functional teams to infuse analytics insights into major business priorities and enable data driven decisions. Partner closely with data engineering and enterprise systems team to define, plan, implement, and support the data infrastructure. Lead the definition of data requirements and controls to enable the integrity of the company’s analytics and management reporting. Drive projects and initiatives for assessment of current data and process infrastructure to support team objects. Support data analysis and reporting requirements, building and maintaining knowledge repository and technical documentation libraries for data lake and reporting. Run standup, workgroup meetings, identifying action items and addressing blockers to keep projects on track. Telecommuting / work from home is permitted. Minimum education and experience required: Master’s degree or the equivalent in Computer Science, Management Information Systems, or a related field plus 8 years of experience in data analytics or related experience. Skills required: Must have experience with: Data pipelines, ETL/ELT, data warehousing, and orchestration tools; BI tools (Tableau, Looker or similar); Data platforms such as Snowflake, Big Query, Redshift; and observability and experiment platforms; Statistics experimentation (A/B testing), modeling techniques and casual inference; languages such as Python, SQL, Scala, or Java for data systems; Hiring a technical team, including providing feedback and mentoring for career growth; Translating business problems into technical plans; Driving strategy for data products and platforms, such as self-serve analytics; Balancing long-term tech investments with short-term business needs; Agile or hybrid methods tailored to analytics projects; Working with product and business leaders to define KPIs, dashboards, and success metrics for product performance; Aligning data strategy with company and product goals; and Driving data quality, engineering best practices, and scalable systems. Employer will accept any amount of experience with the required skills. Payward Operations LLC (dba Kraken) is an Equal Opportunity/Affirmative Action Employer. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto! As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.  Stay in the know Follow us on Twitter [Upgrade to PRO to see link] Learn on the Kraken Blog [Upgrade to PRO to see link] Connect on LinkedIn [Upgrade to PRO to see link] Candidate Privacy Notice [Upgrade to PRO to see link]