Director, Data and Analytics at Ensono
- Take authority, responsibility and accountability for exploiting the value of enterprise information assets, and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance. Be the corporate leader of data-driven insights that help support the exploitation of strategic and tactical business opportunities.
- Work with board members and other executives to establish the vision for managing data as a business asset - to exploit data using research and analytics to maximize the return on data assets. Develop methods to ensure consistent application and use of analytics. Establish the governance of data and algorithms used for analysis, analytical applications and automated decision making.
- Define data and analytics strategy practices, lead the creation (and assure the ongoing relevance) of the firm's data and analytics strategy in collaboration with the CIO and Executive Leaders. Institute an enterprise operating model that is consistent with the capabilities and competencies required to execute the strategy.
- Oversee the development and deployment of the enterprise's data and analytics platform for digital business.
- Lead research, strategy creation and development of new data products or services to expand markets, monetize data (directly and indirectly) and grow company revenue.
- Expand the organization's research and analytics offerings, especially in emerging analytical approaches, skills and technologies, focusing them on digital business innovation.
- Foster the creation of a data-driven culture, related competencies and data literacy across the enterprise.
- Identify new kinds, types and sources of data to enable business innovation throughout the organization. Create and oversee a centralized service for sourcing external data to ensure quality, traceability, timeliness, usability and cost-effectiveness. Define processes for the effective, integrated introduction of new data.
- Organize and chair a data and analytics governance council that meets at least quarterly. Participants typically include the Executive Leaders, CIO and leaders representing a number of key business units (often acting in the role of local data stewards).
- Define, manage and advance enterprise information management principles, policies and programs for stewardship, advocacy and custodianship of data and analytics, in concert with legal, information security, and corporate risk and compliance offices.
- Define, manage and ensure an adequate information trust model, controls for master data and metadata management, including reference data.
- Ensure that business reports derived from controlled data are consistent and representative of the true state of the business.
- Measure master data and reference data for compliance to policy, standards and conceptual models. Assure the deployment and management of data quality monitoring practices.
- Develop, manage, allocate and govern the annual budget for Data and Analytics.
- Organize and lead a data and analytics center of excellence, and constantly improve the organization's capacity to develop insights with advanced analytics. Define members' responsibilities and accountabilities for both. Define job roles, recruit candidates, and then manage (directly or indirectly) a team of data and analytics governance leaders and senior information management professionals in different regions or business units across a complex, international group enterprise.
- Lead the development, publishing and maintenance of the organization's information architecture, as well as a roadmap for its future development, ensuring that it matches and supports business needs.
- Oversee the integration and staging of data, and the development and maintenance of the data lakes, data warehouse and data marts, for use by analysts throughout the organization.
- Partner with Enterprise Architecture to scan the horizon for emerging management tools, skills, techniques and technologies. Work together to ensure their timely introduction for competitive advantage and to minimize duplication.
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.
- 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 enterprisewide programs, operating and influencing effectively across the organization and within complex contexts.
- Experience in integrating complex, cross-corporate processes and information strategies, and/or designing strategic metrics and scorecards.
- Strategy and management consulting experience desirable.
- 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.
- 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.
- 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, and business concepts to technologists. The candidate should be able to "sell" ideas and processes internally at all levels, including the board and investors.
- Proven record of effective leadership, including the ability to balance team and individual responsibilities, build teams and consensus, get things done through others not directly under his/her supervision, and work ethically and with integrity.
- Demonstrated knowledge of the following is desired, but not essential: data structure, information systems/tools, 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 competency areas of data and analytics delivery. Examples are 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.