Senior Manager, Product Architect, VAS Sales Experience - job 10 of 20

Position Overview

We are seeking an experienced and versatile solutions and data architect, to support developing world-class sales tools and experiences. This role combines Data and Solution Architecture, Governance, and Solution Design. The ideal candidate will have a strong data and solution architecture background, with the ability to design and implement effective solutions that drive sales success. This role requires a strategic thinker with excellent problem-solving skills and a keen attention to detail.

Key Responsibilities

Solution and Data Architecture

• Develop a comprehensive understanding of data sources, types and systems across the business, their potential use cases and proactively 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.
• Continue the development of our proprietary Solution Mapping, evolving with the use of additional data sets to enhance.
• Collaborate with IT and business stakeholders to define data requirements and ensure alignment with business needs.
• Develop logic to enable the use of data to fulfil business objectives in collaboration with cross-functional colleagues
• Lead in-depth discussions to define user flows and user experiences and assist partners in developing both frontend and backend infrastructure.

Solution/Data Policies and standards

• Establish and enforce solution and data 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.

Solution Management

• Collect, analyze, and interpret complex data sets to provide actionable insights and recommendations.
• Collaborate with business units to understand their solution and data needs.
• Create a robust operating model for enhancing and improving associated data.