Accountabilities Leadership & Strategy - Guide the development, execution, and implementation of roadmaps for data foundation platforms. - Assess current state of platforms, define future state needs, identify gaps, recommend new technology solutions, and support product roadmap development. - Lead the design, implementation, and optimization of robust data catalogue, data quality, and MDM platforms. - Manage and optimize the technology stack ensuring alignment with security, architecture, compliance, and performance standards. - Provide technical knowledge of engineering principles to develop reliable and high-quality Data & Analytics platforms. - Ensure comprehensive documentation including standard operating procedures, user guides, and best practices. - Ensure automation is central to our processes and technologies for effective delivery timeframes. - Work on funding proposals describing value and ROI for internal investment. - Provide technical support throughout the project lifecycle. Innovation - Drive innovation by staying informed about technology trends and thought leadership. - Collaborate with business stakeholders on proof of concepts and pilots. - Identify opportunities for innovation to enhance the data foundation platform's capabilities and efficiency. Stakeholder Collaboration - Act as a liaison between IT and Business Units fostering strong communication and understanding. - Oversee partnerships with third parties, academic or outsourced partners to shape project outcomes. - Partner with enterprise platform teams and architecture to ensure alignment and influence stakeholders. Quality Assurance - Implement robust quality assurance processes to ensure data accuracy, reliability, and security. - Establish and monitor key performance indicators to measure platform effectiveness. Project Technical Management - Collaborate with technical and business resources from internal and external sources to specify and deliver appropriate technical solutions. - Evaluate the technical competence of external design and engineering staff to meet project needs. - Design and implement cloud solutions following best practices in security and code patterns. Essential Skills/Experience - Extensive experience in implementation & management of data, analytics & AI platforms. - Extensive experience in CloudOps, DevOps, DataOps, and infrastructure setup and maintenance. - Strong knowledge of BI landscape, data warehouse solutions including cloud data warehouses like Snowflake. - Strong experience with cloud platforms and services such as AWS, Azure, or Google Cloud. - Strong communication and interpersonal skills with experience in Agile development methodologies. - Influencer and negotiator who can align executives and senior stakeholders to a shared vision. - Relevant technical degree or equivalent. - AWS experience with EC2, S3, IAM, r53, DynamoDB, Lambda, RDS, ECR, Networking. - GitHub Actions Development Create and maintain GitHub Actions developed in-house. - Python. - IaC with Terraform. - GitHub reusable workflows. - Linux. - Proven track record in engineering technologies connecting technology with business value. Pharma sector experience is a plus. - Strong communication skills with teams, peers, and third-party suppliers. - Ability to develop innovation opportunities and lead changes. - Experience managing/delivering engineering technology aspects of projects/technology developments. - Ability to work in diverse multinational teams influencing positive outcomes. - Experience in Docker, Jira, NodeJS, EKS, AWS Amplify, Artifactory, SonarQube. - Knowledge of Lean design processes. - Experience in Data Foundation technologies like Snowflake, dbt, Data Catalogue (e.g., Collibra), Data Quality (e.g., Monte Carlo), integration tools like Fivetran, Snaplogic, Qlikreplicate.
