Senior Director of Data

To thrive in the Senior Director of Data position at SimplePractice, candidates should possess extensive leadership experience in large-scale data organizations. A proven background in analytics, machine learning, and data infrastructure is key, along with a strong understanding of data privacy regulations, especially in healthcare. The ability to partner with different teams such as product management and go-to-market strategies is also essential for effectively driving data-informed decisions.

As the Senior Director of Data at SimplePractice, you will lead a skilled team of data engineers, analysts, and scientists. Your key responsibilities include developing a comprehensive data strategy, spearheading next-generation data infrastructure initiatives, and promoting the use of AI across the organization. Additionally, you'll ensure that our data handling practices respect customer trust and comply with privacy regulations, especially in the sensitive healthcare arena.

Yes, SimplePractice offers flexibility for remote work for the Senior Director of Data position. While the role is based in Santa Monica, California, the company embraces remote work arrangements, enabling talented professionals to contribute from different locations while still being integral to the team.

The Senior Director of Data at SimplePractice has a competitive salary range of $230,000 to $250,000 annually, which is just one component of the total compensation package. Other potential benefits include annual bonuses, equity options, and comprehensive health benefits. Your overall compensation is determined by many factors, including your skills, experience, and geographic location.

SimplePractice provides an attractive benefits package for the Senior Director of Data position that includes medical, dental, and vision insurance, a 401(k) plan with company matching, flexible time off, and mental health resources. The company also promotes a positive work-life balance through paid parental leave, summer Fridays, and tuition reimbursement.

In 2025, the Senior Director of Data at SimplePractice will focus on three key priorities: delivering exceptional analytics support for enhanced business decision-making, leading the design and development of an efficient data and ML platform, and promoting AI integration throughout the company. This role will be pivotal in shaping how SimplePractice leverages data and AI to enrich the product experience for users.

At SimplePractice, data security is a core value, especially in the Senior Director of Data role. The successful candidate will lead efforts to establish robust governance and risk management principles regarding data usage and storage. Engaging with customers and ensuring transparent practices related to accessing and utilizing their data is vital for maintaining trust, particularly in the healthcare sector.

When answering this question, detail specific projects where you developed data infrastructure from scratch or optimized existing systems. Highlight your leadership style, mentioning how you coordinated efforts across teams to create a data ecosystem while ensuring scalability and efficiency.

Make sure to discuss your methodology for identifying use cases for machine learning. Share your experiences with collaborative strategies to involve cross-functional teams and how you determined success metrics to ensure the solutions served the company's goals effectively.

Focus on your leadership philosophy here. Discuss how you promote a culture of learning, continuous improvement, and collaboration. Examples of how you’ve upskilled your team through training, tools, and fostering a supportive environment will enhance your response.

Provide a specific example where your data insights led to a significant business decision. Explain your approach to presenting data and gaining buy-in from stakeholders, emphasizing communication skills and how you bridge analytics with business objectives.

In your response, outline the protocols and regulations you've adhered to, especially in healthcare or similar fields, mentioning the importance of data governance. Share experiences where you've led data compliance initiatives or established privacy frameworks within teams.

Discuss the specific data analysis and reporting tools you've used (Tableau, SQL, Python, R, etc.) and why you prefer these tools. Mention your experiences utilizing them to deliver insights effectively and how they contributed to your team's success.

Talk about your methods for project prioritization, such as using data impact assessments, stakeholder feedback, and aligning projects with strategic business goals. Providing examples of your organizational skills will strengthen your answer.

In addressing this question, connect your background in data to product management. Discuss instances where you've collaborated with product teams on data-driven feature development and how your insights influenced product strategy.

Share your perspective on harnessing AI to improve efficiency and insights within data practices. Discuss ethical considerations and how you might approach introducing AI features to enhance user experience or operational effectiveness.

Emphasize the importance of communication and understanding between teams. Provide examples of initiatives you've led that encouraged collaboration, such as workshops, shared projects, or transparent reporting mechanisms that helped demystify data for non-technical stakeholders.