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The CDO bears responsibility on behalf of an enterprise to foster value creation from the use of the organization's data assets, as well as the external data ecosystem. The authorities include value creation through data exploitation, envisioning data-enabled strategies as well as enabling all forms of business outcomes through analytics, data and analytics governance, and enterprise information policy. The CDO is the head of all enterprise analytics, decision making affecting analytics, directing analytics processes, and for using analytics to drive innovation and enterprise objectives. Moreover, the CDO is the senior-most executive with responsibility for aligning data policy and administration with relevant regulatory, legal and ethical mandates. Finally, the CDO will have accountability for defining the strategies and selecting the technologies the enterprise will use to govern and manage data. SAP IMPLEMENTATION EXPERIENCE IS HIGHLY PREFERRED.
Be the executive with authority, responsibility, and accountability to exploit the value of Avaya's information assets and the analytics used to render insights for decision making and regulatory reporting.
The CDO will be responsible for managing a major business systems transformation SAP implementation.
Define information strategy practices, lead the creation, and assure the ongoing relevance of Avaya's information strategy in association with the CIO, CISO, chief strategy officer and CEO.
Drive the development and deployment of Avaya's data governance and management platform along with Avaya's analytics platform for digital business.
In collaboration with Product Management, provide feedback and input into development to further Avaya's data and analytics functions & products. To support these endeavors, collaborate with the CMO, CTO, CISO and CIO to assure digital products are released on time, on budget and with high quality.
Work with board members, the CEO, the CIO, other C-level executives to establish vision, and operational functions & processes to govern and manage data as an enterprise asset.
Identify and standardize the use and governance of data and analytics in support of the Avaya's business strategy. This includes the governance of data and algorithms used for analysis, analytical applications and automated decision making.
Institute a programmatic approach for Avaya information management to identify, prioritize and execute the data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes.
Regulatory and Governance Accountabilities
Management and Operational Accountabilities
The CDO owns and manages a central department or competency center for external data sourcing. This group manages the buying of data from outside parties, including vendor approval, data and service specification, contracting, pricing, and quality management.
The CDO owns and manages data governance leads and oversees the activities of designated data stewards which may reside in separate lines of business but are accountable to the CDO's office for execution and KPI achievement.
The CDO owns and manages an analytics or data science laboratory to guide organizational peers in the effective use and exploitation of analytics.
Fifteen or more years of business experience, ideally in business management, legal, financial or information or IT management - recently at or near the executive level. Broad business experience internally and within the vertical industry is desired.
Five or more years of progressive leadership experience in leading cross-functional teams and enterprise wide programs, operating and influencing effectively across the organization and within complex contexts.
Experience with managing a major business systems transformation implementation. SAP implementation experience in a large/enterprise level transformation setup is highly preferred.
Experience in integrating complex, cross-corporate processes, and information strategies, and/or designing strategic metrics and scorecards.
Strategy and management consulting experience desirable.
Skills & Competencies
Excellent business acumen and interpersonal skills; able to work across business lines at senior levels to influence and effect change to achieve common goals.
Demonstrated leadership; proven track record of leading complex, multidisciplinary talent teams in new endeavors and delivering solutions.
Proven 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.
Information strategy experience: experience in strategic technology planning and execution, and policy development and maintenance with a priority placed on data management and governance products.
Analytical skills: outstanding analytical and problem-solving abilities.
Familiarity with business information generation and analysis methods.
Ability to effectively drive business, culture, and technology change in a dynamic and complex operating environment.
Gravitas to develop a framework for information and analytics governance, as well as to sell and embed it in all levels of the business.
Excellent oral and written communication skills, including the ability to explain digital concepts and technologies to business leaders, as well as business concepts to technologists; the ability to sell ideas and process internally at all levels, including the board and investors.
Proven record of effective leadership, including the ability to balance team and individual responsibilities; building teams and consensus; getting things done through others not directly under his/her supervision; working ethically and with integrity.
Demonstrated knowledge of data structure desired, but not essential; information systems/tools, and related software and data management; enterprise content management, and record-keeping policies and practices in a complex organizational environment.
Broad experience desired, but not essential, in multiple domain areas, such as data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, data standards, regulatory compliance, and enterprise architecture frameworks.
A bachelor's or master's degree in business administration, computer science, data science, information science or related field, or equivalent work experience. Academic qualification or professional training and experience in legal and regulatory areas are also desirable.