VP Enterprise Analytics (Candidate Identified)

This position is primarily responsible for assisting in the execution of the company’s comprehensive data strategy and fostering a data-driven culture across the organization. Strategic initiatives will be focused on driving departmental objectives, which include evaluating the company’s data visualization systems and assisting in implementing a data management strategy. The VP, Enterprise Analytics will actively engage with business leaders and subject matter experts (SMEs) to identify core business requirements and suggest modifications to improve accuracy and consistency, while enhancing customer service. This position will work with The Inland Real Estate Group’s Information Technology team and other Inland entities to assist with the planning and implementation of an effective approach to meeting Inland’s enterprise analytics. The role requires outstanding communications skills and the ability to establish good working relationships with individuals at all levels of the firm. The ideal candidate will be a self-motivated industry leader that inspires others to use data to improve the decision-making process. CORE RESPONSIBILITIES: Assist in developing and executing a comprehensive enterprise analytics strategy aligned with organizational objectives Lead the transformation and adoption of the enterprise analytics function across the organization Oversee the design, development, and implementation of reporting dashboard and companywide analytics Manage industry-leading analytics tools and platforms. Drive innovation in areas like predictive analytics, AI, and machine learning Lead, mentor, and develop a high-performing team of analytics professionals Partner with business leaders to optimize customer-focused growth Define Key Performance Indicators (KPIs) and reports for departmental and company-wide performance Assist with developing data governance, data management, and data protection practices across the organization Work with business partners to understand, analyze, and document detailed functional requirements to support business outcomes. Influences business partners towards alignment with Inland’s data vision and strategic data objectives, while building effective working relationships with leaders and business SME’s. Assist in developing procedures for enterprise analytics and ensure appropriate data governance, data recovery, and risk support. Partner with other teams and groups to leverage and integrate enterprise software as needed. Iterate solutions through an adaptive-agile cycle; works with team members to resolve any issues.Demonstrate the highest standards of personal and professional integrity, adhere to company’s policies and procedures, and comply with applicable laws, government rules and regulations. Other duties as assigned. SUPERVISORY RESPONSIBILITY: This position will have supervisory responsibilities. Direct reports include, but are not limited to, (1) Business Intelligence Analyst QUALIFICATIONS:Education: Bachelor’s degree in finance, mathematics, data science, computer science or related field Master’s degree in a data analytics is preferred Experience/Skills: 10+ years of experience in enterprise analytics or related field 7+ years of experience in financial services, alternatives, private equity and/or real estate, with associated knowledge of emerging technologies and industry trends and the ability to apply this knowledge to Inland’s operational/business needs. Proven track record of leveraging data to drive business impact Expert knowledge of analytics platforms, business intelligence tools, and statistical techniques Strong understanding of CRMs, marketing performance measurement, and customer value analytics Experience with data visualization tools and presenting insights to senior leadership Excellent leadership, communication, and project management skills Strong technical and business analysis skills. Must be driven and focused on business outcomes and delivery of business value. Outstanding written and verbal communication skills with demonstrated ability to communicate effectively with all levels of an organization. Expertise in programming languages such as Python, R, or SQL Expertise in data visualization tool such as tableau and Power BI Knowledge of experimental design and A/B testing methodologies Familiarity with AI and machine learning applications in business Intermediate skills in Microsoft Visio, Word, Excel, Power Point and Outlook are required for this position. Intermediate to advanced skills in SQL Experience with Salesforce and HubSpot, are a plus We are a drug-free workplace. Pre-employment background checks and drug screening is performed on all new hires, in accordance with applicable laws and regulations. We are an Equal Opportunity Employer. We consider applicants for all positions without regard to race, color, religion, sex, national origin, age, sexual orientation, familial, marital or veteran status, disability, or any other legally protected classes. We are an E-Verify employer. Please click the following link to learn more.