Head - Data Intelligence and Batch Operations

As the Head of Data Intelligence and Data Operations, you will play a pivotal role in shaping the company’s data-driven strategies. You will lead a multidisciplinary team to design, develop and deliver advanced data solutions, scalable automation processes, and innovative products. This role is ideal for a visionary leader with a deep understanding of data and a passion for driving data operations. Key Responsibilities Data intelligence

• Define and lead the full cycle of data quality, management, governance, and tools development
• Manage change management as data needs to evolve
• Develop relationships across the organization and serve as a data SME
• Manage data delivery operations for portfolio services
• Consult clients on use of bureau data and manage huge volumes of data
• Collaborate with data owners to facilitate data consumption
• Deal effectively with ambiguous and unstructured data
• Deliver insights based on data and recommend improvements based on outcomes
• Identify data enrichment gaps and augment with data
• Manage the team of data analysts to Identify, analyze and interpret patterns and trends in data sets
• Establish data quality metrics, detection/correction of data quality issues
• Oversee the creation of intelligent automation workflows to enhance efficiency and accuracy.
• Develop strategic initiatives and present best practices and key industry trends, including developing and deliveringnew and unique approaches to automation and digital.
• Responsibility for the optimization, standardization and upgrade automation technology and process control.
• Ensuring availability and a target-oriented flow of systems and processes.

• Develop and execute a forward-thinking strategy for data intelligence, automation, and product engineering.
• Align team objectives with the company’s overall goals to deliver measurable value to stakeholders.

• Build, mentor, and manage a high-performing team of data scientists, engineers, and automation specialists.
• Foster a culture of innovation, collaboration, and continuous improvement.

• Collaborate with internal and external stakeholders to understand their data needs.
• Translate business requirements into technical solutions that drive results.
• Stay ahead of industry trends and emerging technologies.
• Evaluate and implement best-in-class tools, frameworks, and methodologies.

• 12-15 Years + experience in data intelligence, automation, and/or product engineering, with at least 5 years in a leadership role.
• Proven expertise in data analytics, machine learning, and AI technologies.
• Hands on experience in cloud technologies
• Strong understanding of automation tools such as RPA, workflow management systems, and scripting languages.
• Experience in product development and lifecycle management, particularly for data-driven solutions.
• Excellent leadership, communication, and stakeholder management skills.
• Proficiency in programming languages (e.g., Python, Java, SQL) and data visualization tools (e.g., Tableau, Power BI).
• Expert knowledge of a broad range of analytical methodologies and their use in solving business problems
• Proven ability to shape and define large, complex solutions to meet client requirements
• Strong interpersonal skills and extensive experience of using these to influence internal and external stakeholders
• Broad knowledge of the Experian products and service suite.
• Strong presentational skills with the ability to influence a diverse range of stakeholders and large groups
• Advanced problem solving and analytical skills
• Strong commercial awareness and financial acumen Extensive consulting experience in the analytics space

• Stakeholder management at a very senior level (CXO & Market Managing Director level)
• Executive level communication skills with ability to make the complex simple in front of senior audiences
• Creates a brand for the product portfolio through personal presence and leadership
• Customer engagement skills to consult customers and deliver solutions
• Empathetic collaboration with a diverse set of senior leaders from different geographies
• Ability to facilitate and bring communities of interest together to achieve greater outcomes
• A broad and deep knowledge and understanding of how credit bureau scores and attributes work
• Hold industry certifications, accreditations or specialisations and willingness to maintain and broaden them