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Cloudways Software Engineering teams design, build and deliver products that are critical for the success of small businesses and digital agencies. Our rapidly growing base of customers and applications means we must deliver solutions capable of serving the rapidly increasing scale of Cloudways’ business. Our products and services encompass a range of solutions to help our customers achieve their business goals of growth and reach, and serve as a foundation for the future.We are seeking a Director of Data Insights who has a passion for data, machine learning and visualization to lead a team of data scientists and data engineers focused on 2 main areas: First, building a predictive and proactive system to optimize performance, availability and capacity of the Cloudways infrastructure that supports our customers applications. Second, provide customer facing business insights and recommendations to help our customers optimize both their web site performance and the business impact of their digital presence. This team will work cross-functionally across our organization from our devops team to UX design to Marketing to our CEO and to everyone in between.
Responsibilities
Provide technical roadmap and strategy for the team, design and lead a multi-year technical roadmap, balancing short- and long-term investments.
Partner closely with Product Management, User Experience, and other Cloudways Engineering teams to create, drive, and deliver an innovative, compelling, and user-friendly experience both internally and to our customers.
Build and lead a Data Insights team to innovate, invent, implement, and deploy complex data insights solutions in a commercial, mission-critical environment.
Unlock roadblocks at corporate level and cultivate collaboration with executives technologists across Cloudways through leadership, creativity, intelligence, and presence.
Develop and grow talent through effective mentoring, succession planning, and retention strategies for key talent in a fast growth, economic environment.
Define and execute a data driven strategy to deliver a solution that assesses our current situation in both of the 2 main areas of focus.
Develop capabilities to learn from application activity, resource usage and other relevant factors to recommend, and then later to initiate action.
Develop capabilities to learn from customers’ users’ usage patterns and translate them into recommendations, and then later to initiate actions on our customers behalf.
Lead the team to evangelize strategic improvements across organizational boundaries to develop stronger, more valuable insights.
Develop a data strategy, design and implementation that include data telemetry/collection, data pipelines, data quality, data security and privacy (compliance) and data retention.
Qualifications
Required:
4+ years of professional experience successfully deploying data science solutions at scale for real-world problems
3+ years experience directly managing or otherwise demonstrating ability to lead
1+ year experience coaching others
Demonstrated ability to positively contribute to organizational culture
Demonstrated ability to influence and drive work across organizational boundaries
Masters degree with relevant coursework in Data Science, Statistics, Machine Learning, and Deep Learning or equivalent work experience
Preferred:
Experience deploying ML models and data pipelines on cloud technologies such as AWS, GCP, Azure.
PhD with relevant coursework in Data Science, Statistics, Machine Learning, and Deep Learning or equivalent work experience
Ability to quickly grasp technical concepts and understand complex interdependencies
Excellent entrepreneurial and strategic approach, with the ability to work at the intersection of technology and business.
Experience in ideation and innovating technology at scale, while motivating others to act by creating a shared sense of purpose.