Senior Manager, Analytics and Business Intelligence

• Champion enterprise-wide culture of fact-based decisions, data quality and accountability.
• Serve as the administrative chair facilitating a business data analytics governance council which shall review and approve information policies, data analytics priorities and resource allocations.
• Review and recommend approval for information related policies, procedures, and standards.
• Directs, organizes, and leads data analytics work stream projects.
• Works on highly complex, cross-functional, and enterprise solutions.
• Establishes processes, roles and quality criteria for work stream planning process including inception, technical design, development, testing and delivery of data analytics solutions.
• Reviews and approves work plans, timelines, deliverable, and resource commitments.
• Reviews and approves data architecture, data models and specifications.
• Establishes and publishes performance metrics and plans for data analytics service demand and service levels.
• Prepares and manages annual capital and operating budgets for data analytics assets, personnel, and services.
• Recruits, hires, develops, and motivates the DA team members.
• Reviews and approves functional requirements and business cases for data analytics improvements.
• Advises executives on how data analytics (processes, practices, and technologies) play a critical role in improving business management and optimization.
• Aligns data analytics technologies with CSI strategic initiatives.
• Approves selection of tools, frameworks, and mechanisms for data analytics.

About CooperSurgical

CooperSurgical is a leading fertility and women's healthcare company dedicated to putting time on the side of women, babies, and families at the healthcare moments that matter most in life. CooperSurgical is at the forefront of delivering innovative assisted reproductive technology and genomic solutions that enhance the work of ART professionals to the benefit of families. We currently offer over 600 clinically relevant medical devices to women's healthcare providers, including testing and treatment options.

CooperSurgical is a wholly-owned subsidiary of CooperCompanies (Nasdaq: COO). CooperSurgical, headquartered in Trumbull, CT, produces and markets a wide array of products and services for use by women's health care clinicians. More information can be found at www.coopersurgical.com.

Responsible for strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with the following data analytics and data analytics-related functional areas:

• Data governance
• Data preparation (sourcing, acquisition, integration)
• Data warehousing 
• Reporting, analytics, data exploration
• Information delivery (portals, mobile)
• Data analytics competency center or center of excellence (DA COE)

Education

• A university degree in computer science, economics, operations, management, or a related field is required.

Work Experience

• A minimum of five (5) years of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated.
• Proven track record in an analytical leadership role, transforming data into actionable business insights that drive measurable impact for the company.
• Industry/domain skills: Extensive expertise in finance, HR, sales, marketing, product life-cycle management, manufacturing, and post-sales service.
• Medical device or pharmaceutical industry experience is preferred.

Practical / Technical skills

• Extensive expertise in data modeling, data warehouses and statistics.
• Experience in and understanding of a wide variety of analytical processes (governance, measurement, etc.).
• Be able to tell a story with the data that is clear and compelling.
• Be comfortable working with executives and department heads discussing their data analytics needs and turning that into actionable reports.
• Experience with agile software development.
• A solid understanding of key trends including machine learning and artificial intelligence.

General business skills: 

• Analytical mind with a problem-solving aptitude expressed with clear, concise written, verbal and presentation skills.
• Experience managing global, complex projects and teams.
• Ability to complete projects and achieve results in an ambiguous work environment.
• Ability to take initiative and be innovative.
• Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results.
• Ability to build and motivate a team to achieve well communicated expect