VP Engineering Data & Analytics

RealPage, Inc is seeking a highly skilled and experienced Vice President of Data & Analytics to lead our data strategy and analytics initiatives. The ideal candidate will have a strong background in AI, Machine Learning, Business Intelligence, Performance & Market Analytics, and Enterprise Data Platforms. This role will be pivotal in driving data-driven decision-making and ensuring the success of our SaaS products.PRIMARY RESPONSIBILITIESStrategic Planning & Execution:Collaborate with executive leadership to define and execute the data and analytics strategy. Align data initiatives with business goals and objectives. Identify and prioritize data projects that will drive business value.Enterprise Data Platform:Lead the development and maintenance of RealPage’s enterprise data platform and products. Ensure data integrity, security, and accessibility across the organization. Implement data governance policies and best practices.AI and Machine Learning:Lead the development and implementation of AI and machine learning models to enhance product features and improve customer experience. Stay updated with the latest advancements in AI and machine learning technologies and integrate them into our solutions. Collaborate with product and engineering teams to deploy AI solutions at scale.Business Intelligence:Oversee the design and deployment of business intelligence tools and systems. Ensure the delivery of actionable insights to support strategic decision-making for our customers.Performance Analytics:Develop and manage performance analytics frameworks to monitor and optimize product performance. Collaborate with cross-functional teams to identify key performance indicators (KPIs).Stakeholder Management:Act as a liaison between the Data & Analytic organization and other departments to ensure alignment and collaboration. Communicate complex data concepts to non-technical stakeholders in a clear and concise manner. Gather feedback from stakeholders to continuously improve data products and services.Leadership:Build and lead a high-performing team of data scientists, analysts, and engineers. Foster a culture of continuous learning and innovation within the team. Provide mentorship and professional development opportunities for team members.REQUIRED KNOWLEDGE/SKILLS/ABILITIESBachelor's or master’s degree in computer science, Data Science, Statistics, or related field.10+ years in data and analytics, with significant leadership experience.Expertise in data transformation, governance, AI, machine learning, business intelligence, performance and market analytics, and enterprise data platforms.Proven senior leadership in data and analytics, preferably in a SaaS organization.Strong skills in data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R).Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).Excellent leadership, communication, interpersonal, critical-thinking, analytical, and problem-solving skills.Ability to think strategically, drive data-driven decisions, and manage multiple projects to successful delivery on time and under budget.Adaptability to change direction and re-prioritize quickly.

#J-18808-Ljbffr