Beam Suntory
Manager - Data Science & AI (Finance)
Role Mission
This position will support the company's Digital Technologies & Analytics global initiatives by playing a lead role in the development of engagement and adoption of analytics solutions. You will be joining a high performing team that works cross-functionally in an agile manner.
What Makes this a Great Opportunity?
Role Responsibilities
BI Tool Selection and Maintenance: Evaluating, selecting, and managing business intelligence tools and platforms to meet the organization's needs effectively.
Strategic Planning and Alignment: Collaborating with stakeholders to align BI initiatives with the organization's strategic goals and priorities.
Communication and Stakeholder Engagement: Regularly communicate progress, successes, and challenges to stakeholders at all levels of the organization, building support and buy-in for analytics initiatives.
Metrics and KPIs: Define and track key performance indicators (KPIs) related to training effectiveness, adoption rates, and business impact, using data to drive decision-making and demonstrate ROI.
Data Quality Assurance : Ensuring the accuracy, completeness, and reliability of data used for business intelligence purposes.
Data Security and Privacy: Implementing measures to protect sensitive data, comply with regulations (such as GDPR or CCPA), and mitigate risks of data breaches.
Data Integration and Management: Overseeing the integration of data from various sources and ensuring consistency and coherence across datasets.
Performance Monitoring and Optimization: Monitoring the performance of BI systems, identifying bottlenecks or inefficiencies, and implementing optimizations to enhance performance.
Compliance and Regulatory Reporting: Ensuring that BI practices and reporting comply with relevant laws, regulations, and industry standards.
Continuous Improvement: Identifying opportunities for improvement in BI processes, technologies, and practices, and driving initiatives to enhance efficiency and effectiveness.
Risk Management: Assessing and managing risks associated with BI projects, such as data quality issues, security vulnerabilities, and compliance risks.
Change Management: Effectively manage the cultural and organizational changes required to embed new analytics tools into daily operations, overcoming resistance and fostering a data-driven culture.
Qualifications
Nearest Major Market: Chicago
Job Segment: Data Management, Computer Science, Business Intelligence, Quality Assurance, ERP, Data, Technology