Data & BI Manager

Zoek Pin Milton Keynes - This Area Only

£55000 - £60000/annum

Permanent (Full time)

Posted 42 days ago

Data & BI Manager

Location - Milton Keynes

Reporting to Head of Programmes

Salary - £55-60,000 pa

Monday to Friday 08:45 to 17:00

Summary

Scania is one of the country’s leading suppliers of heavy commercial vehicles we have a new and exciting opportunity for Data & BI Manager to join the team based at our Head Office in Milton Keynes.

This role will be part of IT Programme Delivery Team and is a leadership role for the enterprise. The role of Data & BI Manager bears responsibility on behalf of the organization to foster value creation by means of the organization’s data assets and external data ecosystem. The role should create value through data exploitation, envision data-enabled strategies, enable all forms of business outcomes through analytics, establishing data and analytics governance and implement enterprise information policy.

Essential Duties & Job Responsibilities

Leadership and Management

The Data & BI Manager role will oversee all activities that optimize the value, cost and risk of data:

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 Head of Programmes and CIO 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 Head of Programmes and CIO. 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.
Create and expand open data offerings to empower citizens, and to enable better government and commercial services.

Regulatory and Governance Accountabilities

Implement regulatory and compliance programs related to data and analytics assets.
Act as the corporate representative to regulators, 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 chief information security officer 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.

Implement data and analytics governance council to provide executive sponsorship for and oversight of governance policy creation and compliance.
Organize and chair a data and analytics governance council that meets at least quarterly with leaders representing a number of key business functions.
Participate in the following governance domains: business strategy and planning, management and financial reporting, enterprise architecture, IT strategy and planning, risk and compliance, and marketing strategy and planning.
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.
Evolve and institutionalize behaviors for the appropriate use of information taking into consideration changing security requirements, privacy needs, ethical values, societal expectations and cultural norms (in collaboration with the data protection officer and legal counsel).
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.

Ensure the timely execution of independent audits, as appropriate.

Management and Operational Accountabilities

Develop, manage, allocate and govern the annual budget for the team.
Organize and lead a data and analytics centre 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.
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 the Head of Programmes and CIO 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.

Candidate Requirements

Behaviours and Competencies

The Data & BI Manager role acts in a leadership role and must demonstrate the following leadership attributes:

High levels of personal integrity when conducting the professional affairs of the organization and dealing with sensitive and confidential data relating to risks and costs.
Calmness and clarity of thought while under pressure.
The ability to uphold the goals and culture of the organization.
The ability to lead, enable and motivate teams by providing advice and guidance in a nonjudgmental fashion.
An understanding of strategic business objectives and the ability to drive r

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