Vice President, Analytics & Process
- Establish and lead Allegacy’s strategic analytics vision, aligning data science and advanced analytics initiatives with key business objectives.
- Drive analytics maturity across predictive modeling, AI/ML, segmentation, behavioral analysis, and prescriptive insights.
- Foster an insights-driven culture, translating complex data into clear, actionable strategies that drive growth and efficiency.
- Lead the strategy and execution of the enterprise business intelligence roadmap, ensuring availability, accuracy, consistency, and scalability of data assets.
- Oversee data governance, data quality standards, data lineage, metadata management, and compliance with regulatory frameworks.
- Champion best-in-class BI tools and cloud data solutions (Power BI, Snowflake, Azure/AWS ecosystems, etc.) to provide real-time insights and decision support across teams.
- Spearhead data-driven process improvement initiatives, using analytics and automation to identify inefficiencies and accelerate performance.
- Lead automation strategies, deploying Robotic Process Automation (RPA), workflow automation, and low-code solutions that streamline operations and improve member experiences.
- Embed continuous improvement methodologies (e.g., Lean Six Sigma) across functions, fostering a culture of data-informed operational excellence.
- Partner closely with executive stakeholders, including Digital Channels, Finance, Operations, Marketing, Risk, and Information Security, ensuring data strategies align with broader organizational goals.
- Support and Influence enterprise-wide strategic planning with insights, predictive modeling, and data-driven recommendations.
- Lead, mentor, recognize and develop a high-performing, collaborative team of data analysts, data scientists, BI professionals, and process improvement experts.
- Proven expertise with advanced analytics, statistical modeling, predictive analytics, and machine learning frameworks (e.g., Python, R, TensorFlow, Azure ML, etc.).
- Strong background in enterprise data management, data quality practices, metadata management, and data governance within regulated environments.
- Demonstrated success implementing and scaling BI platforms, data visualization tools (e.g., Power BI, Tableau), and cloud data warehousing solutions (e.g., Snowflake, Azure, AWS).
- Experience deploying intelligent automation solutions, such as RPA, intelligent workflows, or process automation platforms (e.g., UiPath, Power Automate, ServiceNow).
- A record of driving measurable improvements in process efficiency, member/customer satisfaction, and organizational performance through data-driven methodologies.
- Exceptional executive communication skills with the ability to clearly translate data complexity into strategic insights at board and leadership levels.
- Education Required: Bachelor’s degree or equivalent experience
- Preferred Education: Master’s Degree
- Experience Required: 10+ years of progressive leadership in analytics, data science, business intelligence, or related fields, including experience managing large, cross-functional teams. 7+ years of Management Experience with demonstrated strategic leadership.
- Certifications or deep experience in data management methodologies or operational excellence frameworks preferred
- Hands-on experience with deploying AI-powered decision engines or integrating predictive analytics into real-time business processes preferred.
- Familiarity with financial industry data ecosystems and regulatory compliance frameworks preferred.
- Experience in at least one of the following: leading analytics modernization, digital transformation, or enterprise-wide data strategy programs.
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