VP, Data, Analytics, & AI
Ferrara
- Chicago, Illinois, United States
- Chicago, Illinois, United States
Über
Strategy and Vision:Define the data, analytics, and AI strategy, including vision, drivers, and outcomes. Lead the creation and ensure the ongoing relevance of the organization's D&A strategy in collaboration with the CEO, business domain leaders, CIO, and other relevant stakeholders. Operating Model:Institute an operating model for data, analytics, and AI that aligns with the capabilities and competencies required to execute the strategy. This includes the ecosystem, architectures, and delivery model. Partnerships:Build partnerships with executive leadership and board members to ensure data is managed as a business asset, AI-ready, and track and measure the value derived from those data assets. Communicate the tangible business value generated from data, analytics, and AI initiatives to stakeholders and executives. Data Governance:Maintain authority and accountability for data assets, analytics used for decision-making, and AI solutions that automate decisions and augment human performance. Oversee a centralized data management/data engineering service to ensure quality, traceability, timeliness, usability, and cost-effectiveness. Delivery Models:Oversee delivery models, methods, and practices for creating data, analytics, and AI products to ensure consistent application and use of data and analytics solutions and services, including data science. Technology Capabilities:Evolve technology capabilities for the D&A platform in collaboration with the CIO to align D&A initiatives with IT infrastructure and policies and drive technology innovation across the organization. Governance Mechanisms:Establish and maintain trust in AI-ready data assets by instituting governance mechanisms for data, including fostering data stewardship across business data domains. Collaborate with leaders responsible for security, privacy, risk, and compliance. Regulatory Compliance:Understand regulatory requirements, relevant data protection laws and regulations, and industry-specific standards. Ensure the organization's data practices are compliant in collaboration with legal and compliance teams. Ethical Use of Data:Oversee the ethical and responsible use of data and algorithms for AI, analytics, and automated decision-making. Establish guidelines and practices to prevent misuse of data and protect individual privacy. Culture and Talent Development:Own the development of a data-driven culture, related competencies, behaviors, and data and AI literacy across the enterprise. Lead transformation efforts by developing D&A talent and maturing the D&A capability of the organization. Additional Responsibilities:
Innovation:Lead data-driven innovation for the enterprise, including the investigation, adoption, and exploitation of AI. Identify new data sources to enable business value innovation and new use cases. Monitor emerging skills and technologies to accelerate business innovation and transformation. Product Development:Lead research, strategy creation, and development of new data and analytics products or services to expand markets, monetize data, and impact enterprise profitability. Public Sector (Optional):Create and expand open data public offerings to empower citizens, advance transparency, and enable better government and commercial services. Skills that will make you successful
Technical Skills:Expertise in data management, information/data architectures, data structures, data and analytics governance, statistical skills, and knowledge of information systems/tools. Strategic thinking and planning Management of Capital Investments and Expenses Deep knowledge of data, analytics and AI capabilities and evolving technologies Leadership skills in directing staff to achieve objectives Mentorship, Coaching and Career Development Persuasive communication and advocacy Strong interpersonal, written, and oral communication skills Discuss technical topics in a user-friendly language Highly self-motivated and directed Experiences that will support your success
Education:Preferably a bachelor's or master's degree in business administration, STEM, computer science, data science, information systems, or related field. Academic qualification or professional training in legal and regulatory areas is desirable. Experience:10 to 15 years of business experience, ideally in business management, legal, financial, or IT management. Five or more years of progressive leadership experience in leading cross-functional teams and enterprisewide data and analytics programs. Stakeholder Management:Identify and prioritize internal and external stakeholders and their goals. Connect with stakeholders to identify unmet needs and redesign business processes or address data-related risks. KPIs and Business Outcomes:Inventory key performance indicators (KPIs) and use them to improve business outcomes through specific actions. Create a value-based story of how data and analytics capabilities are necessary for a successful organization. Data and Analytics Expertise:Broad understanding of strategic data and analytics capabilities and the ability to communicate these concepts to stakeholders. Support AI initiatives and data-driven culture change. Management and Operations:Develop, manage, allocate, and govern the annual budget for the D&A function. Organize and lead a data and analytics center of excellence. Oversee the development and maintenance of the organization's data and analytics architecture and platforms.
What We Offer At Ferrara, we're proud to support our employees by providing comprehensive benefits such as health insurance, dental insurance, a 401(k), and paid time off (PTO). Eligible employees may also receive an annual bonus based on company performance. Learn more about our benefits at https://flimp.live/Ferrara-Candy-2025-OE-QR Compensation The salary range for this role is $192,416 - $269,382 annually. EQUAL OPPORTUNITY We are proud to be an equal opportunity employer. In order to provide equal employment and advancement opportunities to all qualified applicants and employees, employment decisions and opportunities at Ferrara will be based on merit, qualifications, and abilities, without regard to race, color, creed, religion, sex, sexual orientation, gender identity and expression, marital or civil union status, national origin, ancestry, citizenship, age, military or veteran status, disability, handicap, genetic information, pregnancy (childbirth or related medical condition), or on any other basis prohibited by law. This policy governs all aspects of employment, including selection, job assignment, compensation, discipline, termination, and access to benefits and training.
Sprachkenntnisse
- English
Hinweis für Nutzer
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