Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data.
Must have skills : Data Analytics
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
The Senior Manager of Enterprise Data Analytics will lead a team of data professionals focused on delivering high-impact analytics, insights, and data-driven strategies across the organization. This role will drive enterprise-wide initiatives by partnering with cross-functional leaders in different Business Value Streams at Vertex, to turn complex data into actionable intelligence. The ideal candidate is a strategic thinker and hands-on leader who thrives at the intersection of data, technology, and business value. Key Responsibilities - Manage a team of direct reports, including day-to-day supervision and performance oversight. - Lead and develop a high-performing team of data analysts, business analysts, and data visualization specialists. - Translate executive and departmental business goals into data strategies, insights, and scalable reporting solutions. - Oversee the design, development, and maintenance of enterprise dashboards, KPIs, and reporting frameworks using tools like Power BI and Tableau. - Partner with data engineering and data governance teams to ensure data quality, integrity, and accessibility. - Identify opportunities to drive business outcomes through predictive analytics, trend modeling, segmentation, and customer lifecycle insights. - Act as a strategic advisor to senior leadership by providing analytical guidance on initiatives, KPIs, and operational decisions. - Foster a culture of data literacy, storytelling, and self-service analytics across the organization. - Own the intake, prioritization, and delivery of analytics projects, ensuring alignment with business objectives and timelines. - Develop frameworks for measurement, experimentation (A/B testing), and business impact analysis. - Ensure compliance with data privacy and security standards in all analytics practices. Qualifications - Bachelor’s or master’s degree in data science, Business Analytics, Computer Science, Statistics, or a related field. - 8+ years of progressive experience in analytics or business intelligence, with at least 2–3 years in a people leadership role. - Proven ability to manage, mentor, and scale high-performing analytics teams. - Deep expertise in data visualization and BI tools (e.g., Power BI, Tableau). - Strong SQL skills and working knowledge of data platforms (Snowflake, Data Cloud, etc.). - Experience in enterprise SaaS, B2B tech, or digital transformation environments is preferred. - Excellent communication skills with a strong ability to translate complex data into business value. - Experience working in Agile or cross-functional environments is a plus. Preferred Attributes - Strategic thinker with the ability to manage both granular details and big-picture business objectives. - Curious, data-driven mindset with a commitment to continuous improvement. - Demonstrated success in driving cross-functional alignment through data and analytics. - Strong executive presence and the ability to influence at all levels of the organization.15 years full time education
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