Chief Data Officer

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er JDs are **NOT** to be posted on Job Portals/Social Media
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**Position - Chief Data Officer**

**Location - **Hyderabad
**Experience - **15 to 20 years
**IT/Software Development - Application Programming/Maintenance**

**About Company**

Technology driven.
It analyses the data and give insights to Industry, besides taking the insurance related mortality investigations, burning cost ratios and helps the IRDAI with necessary out comes that are crucial in pricing the products.
It provides the risk modelling to the industry, and creates the fraud repository to the industry.
**Vacancy**

1

The CDO is the senior executive who bears responsibility on behalf of IIB to foster value creation by means of the organization’s data assets and external data ecosystem. The associated tasks include:

- Creating value through data exploitation
- Envisioning data-enabled strategies
- Enabling all forms of business outcomes through analytics
- Establishing data and analytics governance
- Specifying enterprise information policy

As such, the CDO is the senior-most executive with responsibility for aligning data policy and administration with relevant regulatory, legal and ethical mandates.

Primary Responsibilities:

- 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 the Industry’s performance with a vision of ‘Insurance for All by 2047’. Be the leader of data-driven insights that help support the exploitation of strategic and tactical business opportunities.
- Define data and analytics strategy practices, lead the creation (and assure the ongoing relevance) of the firm’s data and analytics strategy. Institute an enterprise Data 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,

1 / 4

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 automated service for sourcing industry data to ensure quality, traceability, timeliness, usability and cost-effectiveness. Define processes for the effective, integrated introduction of new data.

Regulatory and Governance Accountabilities:

- Lead regulatory and compliance programs related to data and analytics assets.
- Act as the key data representative to the Regulator, and represent the enterprise to customers, suppliers and external bodies in the development of industry data and analytics standards.
- Ensure that appropriate audit controls exist for data and analytics that serve as the source material for regulatory reports.
- Ensure that the data used for financial reporting and to support legal requirements is valid, reliable, traceable, timely, available, secure and consistent.
- Develop and maintain controls on data quality, interoperability and sources to effectively manage the corporate risk associated with the use of data and analytics.
- Collaborate with the Head of Information Security officer and related offices to create policies and controls for the appropriate protection of information assets. Protection should encompass a defined information life cycle, from acquisition or creation to end of life destruction and disposal procedures.
- Organize and lead a data and analytics governance council to provide executive sponsorship for and oversight of governance policy creation and compliance.
- 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.
- Ensure the timely execution of independent audits, as appropriate.

Management and Operational Accountabilities
- Develop, manage, allocate and govern the annual budget for the office of the CDO.
- 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 throughou