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LivaNova is a global medical technology company built on nearly five decades of experience and a relentless commitment to improving the lives of patients around the world. Our advanced technologies and breakthrough treatments provide meaningful solutions for the benefit of patients, healthcare professionals, and healthcare systems. The company is listed on the NASDAQ stock exchange under the ticker symbol " LIVN ." LivaNova is headquartered in London (UK) with a presence in over 100 countries and a team of more than 3,000 employees worldwide.

Position Summary:

The enterprise data management leader has the primary enterprise accountability of the organization's data and analytics (D&A) assets to drive value for business stakeholders. This includes creation and management of data and analytics strategy, and execution of related programs and practices that drive measurable business outcomes. This role involves establishing, leading and operating the D&A function; developing talent and mature D&A culture; building trust and managing data; and evolving technology capabilities

General Responsibilities:

• Build partnerships with executive leadership and board members to establish the vision for managing data as a business asset - to exploit data and analytics capabilities to maximize the value derived from data assets.

• Provide strategic direction and oversight for the design, development, operation and support of data management capabilities that fulfill the needs of the organization.

• Define data and analytics vision, strategy and associated practices. Lead the creation (and assure the ongoing relevance) of the organization's data and analytics strategy in collaboration with the business leaders.

• Define data management framework that is aligned with evolving regulatory, privacy and security requirements

• Institute an enterprise operating model for data and analytics that is consistent with the capabilities and competencies required to execute the strategy.

• Foster the creation of a data-driven culture, related competencies and data literacy across the enterprise. Lead these transformation efforts by developing D&A talent and maturing the capability of the organization.

• Oversee delivery models, methods and practices for creation of data products and to ensure consistent application and use of data and analytics solutions.

• Establish and maintain trust in data assets by instituting governance mechanisms for data and algorithms used for analysis, analytical applications and automated decision making.

• Lead data-driven innovation for the enterprise, including adoption and exploitation of artificial intelligence.

• Foster the creation of a data-driven culture, related competencies and data literacy across the enterprise. Lead these transformation efforts by developing data and analytics talent and maturing the capability of the organization.

• Focus on business outcomes, not reporting. Inventory the business' KPIs, not just for the purpose of reporting on the business with dashboards and reports. Modern data and analytics strategies use KPIs that describe how data and analytics will be used to improve the business, actually achieving those business outcomes through specific business actions.

The Head of Data Management and Analytics needs to have a broad understanding of the full range of strategic data and analytics capabilities, and the ability to communicate these concepts, methods and techniques in ways easily understood by other stakeholders:

• Data and analytics strategy expertise: Acumen for strategic business and technology planning and execution, including policy development and maintenance.

• Data-driven culture change: Playing a critical role in driving and overseeing major business change to deliver enterprise value by managing major data-driven change initiatives.

• Data literacy: the ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options. The ability to translate among the languages used by executive, business, IT and quant stakeholders.

• Analytics and business intelligence: diagnostic, descriptive, predictive and prescriptive analytics approaches.

• Data science and AI: graph analysis, machine learning and natural language processing.

• Data management: data integration (ETL) or metadata.

• Information/data architectures: the differences between data fabric, data mesh, data warehouse, data lake or data hub. Identify and manage the most important business information assets across the organization.

• Data structures: structured, semistructured and unstructured data.

• Data and analytics governance: MDM, data quality and data stewardship practices. This extends into widening connected governance, which touches on data security, privacy access, and other compliance and regulatory governance practices.

• Statistical skills: understanding the difference between correlation and causation.

• Develop, manage, allocate and govern the annual budget.

• Organize and lead a data management center of excellence, and constantly improve the organization's capacity to architect the data management model and develop insights with advanced analytics.

• Define members' responsibilities and accountabilities. Define job roles, recruit candidates, and then manage (directly or indirectly) a team of data and analytics leaders and senior information management professionals in different regions or business units across a complex, international group enterprise.

• Oversee development, publishing and maintenance of the organization's data and analytics architecture and platforms, as well as a roadmap for its future development, ensuring that it matches and supports business needs.

• Demonstrated leadership: Proven track record of leading complex, multidisciplinary talent teams in new endeavors and delivering solutions. Ability to balance team and individual responsibilities, build teams and consensus, get things done through others not directly under their supervision, and work ethically and with integrity.

• Excellent business acumen and interpersonal skills: Able to work across business lines at a senior level to influence and effect change to achieve common goals.

• Communication and storytelling: Creating consistent value-oriented storylines for better understanding and execution of the Strategy. Ability to effectively drive business, culture and technology change in a dynamic and complex operating environment (e.g., conveying information to diverse audiences in a way that is easily understood and actionable). Comfort with public speaking and the ability to creatively and concisely express ideas to business and technical audiences.

• Influencing and emotional intelligence: by asserting ideas and persuading others to gain support across an organization or to adopt new behaviors. Ability to explain digital concepts and technologies to business leaders, and business concepts to technologists.

• Creative and critical thinking, and outstanding analytical and problem-solving abilities: Familiarity with business information generation and analysis methods (for example, framing new concepts that spur use case ideation for business participants and brainstorming with business users about future product and services).

• Collaboration: For example, fostering group problem solving and solution creation with business and technical team members.

• Relationship management: For example, creating relationships and building trust with internal and external stakeholders quickly.

• Talent Development: Build and develop talent that is aligned with organizations mission, values and pillars..

Skills and Experience:

• Minimum 10 years of progressive IT experience.

• Demonstrated experience and success in senior leadership roles in Enterprise Data Management and strong executive presence with an ability to interface with all members of the executive management team.

• Degree in related field, or equivalent work- or education-related experience.

• Experience successfully executing programs and building partnerships that meet the objectives of excellence in a dynamic business environment.

• Knowledge and understanding of relevant legal and regulatory requirements, such as: Sarbanes-Oxley Act (SOX), Health Insurance Portability and Accountability Act (HIPAA), FDA and EMEA regulations, etc.

• Knowledge and understanding of cloud technologies like Azure are preferred.

• Up-to-date knowledge of methodologies and trends in both business and IT.

• Ability to travel (Domestic/Global) 30-40% and work in a 24/7 environment across multiple time zones.

• Understands a wide range of technologies, including CRM, ERP, business intelligence, cloud computing, etc.

• Strong business orientation with broad experience in this or relevant industries.

• Strong problem solving and decision-making skills with excellent written and verbal communications skills. Superb leadership, communication, and interpersonal skills. Ability to function in a collaborative way and build trust.

• A superior customer orientation, including an understanding of the advantages of partnering and alliance building (internal and external to the enterprise).

• Possess the highest personal and professional standards and integrity.

Education:

• Minimum 10 years of progressive IT experience

• Bachelors Degree in any field or equivalent experience

Travel Requirements:

• Ability to travel (Domestic/Global) 30-40% and work in a 24/7 environment across multiple time zones.

Employee benefits include:

*Health benefits - Medical, Dental, Vision

*Personal and Vacation Time

*Retirement & Savings Plan (401K)

*Employee Stock Purchase Plan

*Training & Education Assistance

*Bonus Referral Program

*Service Awards

*Employee Recognition Program

*Flexible Work Schedules

Pay: A reasonable estimate of the annual base salary for this position is $151,500 - $252,500 discretionary annual bonus. Pay ranges may vary by location.

Our commitment to Diversity & Inclusion:

LivaNova values equality and celebrates diversity. We are committed to ensuring that our recruitment process is fair, transparent and free from unlawful discrimination.

Our selection process is driven by the key demands/requirements for the role rather than bias or discrimination on the basis of a candidate's sex, gender identity, age, marital status, veteran status, non-job-related disability/handicap or medical condition, family status, sexual orientation, religion, color, ethnicity, race or any other legally protected classification.

Notice to third party agencies:

Please note that we do not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Services Agreement, we will not consider, or agree to, payment of any referral compensation or recruiter fee. In the event that a recruiter or agency submits a resume or candidate without a previously signed agreement, we explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

Beware of Job Scams:

Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons posing as LivaNova recruiters or employees. The scammers may attempt to solicit confidential, personal information, such as a social security number, or your financial information. LivaNova will never ask for fees prior/during/after the application process, nor will we ask for banking details or personal financial information in return for the assurance of employment. If you are concerned that an offer of employment might be a scam or that the recruiter is not legitimate, please verify by searching for "See Open Jobs" onhttps://www.livanova.com/en-us/careers, and check that all recruitment emails come from an @livanova.com email address.