Chief Data and Analytics Officer - Data Science & Artificial Intelligence

The Global Director of Data and Information will be responsible for developing and executing a comprehensive data and information strategy that aligns with the organisations business goals. You will;
help the organisation gain the benefit from the data within our business systems.
identify and exploit opportunities to integrate operational and telemetry data into our Business Intelligence
ensure the organisation adheres to the key principles of information management, particularly Accountability, Integrity, Compliance and Usability.


This role involves leading data governance, analytics, and data management initiatives, ensuring that data is effectively utilized to drive strategic decision-making across the organisation. The ideal candidate will possess strong leadership skills, a deep understanding of data architecture, and a proven ability to leverage data for business insights.


Key Responsibilities:

Strategy Development :
~ Define and implement a global andData and Information strategy that aligns with the organisations overall objectives and priorities, considering and anticipating future scalability and compliance requirements.

Team Management :
Recruit, mentor, and develop a high-performing data team, promoting a culture of continuous learning and professional growth.
Management of a hybrid team, comprising internal ETL specialists and third-party resources to ensure the Colt DCS Data Platform
Data Governance :
Establish and maintain data governance frameworks, policies, and standards to ensure data quality, security, and compliance with regulations.
Develop and maintain an Enterprise Data Dictionary. Ensure adherence to the aforementioned frameworks, policies and standards.
Analytics Leadership :
~ Lead a team of data analysts and engineers to develop platform blueprints and data models for advanced analytics solutions that provide actionable insights and drive business performance.

Collaboration :
~ Work closely with cross-functional teams, including IT, marketing, finance, HR and operations, to identify data needs and opportunities, assuring the adopting of data management, lineage tracking and classification.

Data Management :
Ownership and Management of the Colt DCS Data Integration Platform.
Ownership and Management of the Colt DCS Data Warehouse Platform
Oversee data management practices, including enterprise level data architecture, data integration, data warehousing, and data lifecycle management.
Innovation :
~ Stay abreast of industry trends and emerging technologies related to data and analytics, and drive innovation within the organisation making use of approaches such as proof of concept to demonstrate value.

Stakeholder Engagement :
~ Communicate data strategy and insights to senior leadership and stakeholders, fostering a data-driven culture throughout the organisation assuring the right ownership and accountability across the business.

Performance Metrics :
~ Establish key performance indicators (KPIs) and feedback loops to measure and report on the success of Data and Information initiatives, continuously improving data practices.




Qualifications and Experience :
~ Bachelors degree in Data Science, Computer Science, Statistics, Business Administration, or a related field; Masters degree or MBA preferred.
~10+ years of experience in data management, analytics, or related fields, with at least 5 years in a leadership role.
~ Proven track record of developing and executing successful data strategies in a global or large-scale environment.
~ Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA).
~ Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar.
~ Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud).
~ Excellent analytical and problem-solving skills, with a strong business acumen.
~ Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels.
~ Familiarity with machine learning and artificial intelligence applications in business contexts.
~ Experience within the construction industry can be advantageous.
~ Strong project management skills and experience managing cross-functional teams.
~ Vendor Management, particularly Managed Service Providers