Job Description
JOB TITLE: Senior Director Data & Insights LOCATION: REMOTE
THE ROLE: As Senior Director Data Insights you’ll be responsible for our cross-functional data insights team supporting departments including Marketing Product Content and Finance. You will set a high standard for excellence for what great data insights look like as well as build competency at the company for a high level of rigor on what great experimentation looks like and how to drive data-based decision-making. Being able to nurture strong cross-functional relationships built on trust and collaboration is critical to this role. This role will report directly to the CEO.
WHAT YOU’LL DO:
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Lead coach and grow Splice’s data science and insights team spanning various departments and functions.
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Create and foster a culture of measurement developing insights and learning throughout the company – supporting key leaders across Product Marketing Content & Finance.
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Partner closely with our Data Engineering organization to build best-in-class infrastructure in an increasingly data-driven organization cross-functionally.
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Maintain high standards for your team and cross-functional partners and a high bar in terms of experimentation rigor data analysis and insights.
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Show curiosity about our customer outcomes and our business identifying higher-level insights and opportunities across departments to elevate Splice to the next level of performance and growth.
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Build strong relationships of trust across departments and with your peers so your department continues to be seen as a reliable source of learning and “truth” about our business.
JOB REQUIREMENTS:
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7+ years of relevant work experience building data and analytics infrastructure and reporting tools.
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4+ years of experience growing managing and mentoring data science teams.
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A track record of setting a clear vision for data and inspiring other leaders and team members to achieve collective goals.
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Experience working with and supporting cross-functional leaders in product and marketing functions.
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Technical mastery of query/scripting languages and analytics tools (SQL Python/R Looker preferred) and ETL languages and tools (dbt Airflow SQLMesh).
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Proven experience translating raw data sources into trusted maintainable and interpretable data models that drive impactful decision-making.
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Understanding of a broad spectrum of methods and disciplines in data science and analytics with deeper skills in at least one of these fields: machine learning data analytics decision science operations research data modeling business intelligence or data engineering.
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Proficiency with infrastructure and/or backend engineering evolving and scaling back-end services data models and storage.
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Effective communication skills to convey data-driven analyses and methodologies to diverse audiences.
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Strong sense of curiosity combined with a love for data; You’re detail-oriented and are driven to discover actionable insights in a large pool of structured and unstructured data.
NICE TO HAVES:
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You care about music and have a love for creator culture.
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You have experience working at high-growth organizations.
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Team player with a sense of ownership and 'get things done' attitude.
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Self-motivated and able to thrive in a fast-paced and self-directed environment.
The national pay range for this role is $220000 - $290000. Individual compensation will be commensurate with the candidate's experience.
Date Posted
04/09/2024
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2
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