Senior Manager, Data Architect, Sales Experience

We are seeking an experienced and versatile data professional to oversee our rapidly evolving data landscape. This role combines Data Architecture, Data Governance, and Data Analytics. The ideal candidate will have a strong background in data architecture, governance, and analysis, with the ability to design and implement effective data solutions that drive business success.This role requires a strategic thinker with excellent problem-solving skills and a keen attention to detail.Key ResponsibilitiesData Architecture & StrategyDevelop a comprehensive understanding of data sources, types and systems across the business, use cases used and formulate recommendations to benefit the VAS Sales & Commercialization objectives.Create a compelling and scalable strategy and architecture to deliver against business objectives, collaborating with other data, IT, and business functions to ensure a complete vision.Develop and maintain data models, and data dictionaries, ensuring optimal performance and scalability.Ensure the development of our proprietary Solution Mapping, and interconnection of disparate data sets.Ensure data integrity, security, and availability across all data systems and platforms.Collaborate with IT and business stakeholders to define data requirements and ensure alignment with business needs.Evaluate and recommend new technologies and tools to enhance use cases of data.Data Governance SpecialistEstablish and enforce data governance policies, standards, and procedures.Develop and implement data quality management frameworks to ensure data accuracy and consistency.Collaborate with the wider team, product owners and others to ensure validity of Solution Mapping data.Facilitate data stewardship and data ownership initiatives across the organization.Provide training and support to stakeholders on data governance practices and principles.Data Analytics, Engineering and Product ManagementCollect, analyze, and interpret complex data sets to provide actionable insights and recommendations.Collaborate with business units to understand their data needs and deliver tailored analytical solutions.Ensure data accuracy and reliability through regular data validation and quality checks.Develop logic to enable the use of data to fulfil business objectives in collaboration