Associate Director Data Team

• Define project scope, goals, and deliverables that support business goals in collaboration with senior management and stakeholders. 
• Develop full-scale project plans and associated communications documents. 
• Effectively communicate project expectations to team members and stakeholders in a timely and clear fashion. 
• Liaise with project stakeholders on an ongoing basis. 
• Estimate the resources and participants needed to achieve project goals. 
• Draft and submit budget proposals and recommend subsequent budget changes where necessary. 
• Set and continually manage project expectations with team members and other stakeholders. 
• Identify and manage project dependencies and critical path. 
• Plan and schedule project timelines and milestones using appropriate tools. 
• Track project milestones and deliverables. 
• Identify, assess, and manage risks throughout the project lifecycle, includes developing risk mitigation strategies and contingency plans 
• Develop and deliver progress reports, proposals, requirements documentation, and presentations. 
• Determine the frequency and content of status reports from the project team, analyze results, and troubleshoot problem areas. 
• Proactively manage changes in project scope, identify potential crises, and devise contingency plans. 
• Define project success criteria and disseminate them to involved parties throughout the project life cycle. 
• Coach, mentor, motivate, and supervise project team members and contractors, and influence them to take positive action and accountability for their assigned work. 
• Build, develop, and grow any business relationships vital to the success of the project. 

KEY PERFORMANCE INDICATORS / MEASURES OF SUCCESS

• Completeness, adequacy and correctness of the enterprise architecture meeting its functional and non-functional (qualitative) needs and requirements.
• Strategy and infrastructure landscape in alignment to Enterprise Standards
• Complete architecture documentation following Novartis Architecture framework(s) and processes.
• IT Cost efficiency; Savings due to asset re-use interval reduction & decommissioning
• High level of system integration across Development units

IDEAL BACKGROUND / EXPERIENCE

• Bachelor’s degree in business administration, Information Technology, or a related field. 
• Project Management Professional (PMP) certification is preferred. 
• Must have 15+ years of experience, with 10+ years in managing large scale programs for data management.
• Should have fair understanding of data capabilities such as data quality, master & reference data, metadata, data maturity management.
• Proven experience in project management methodologies, including Agile and Waterfall. 
• Strong familiarity with project management software tools, methodologies, and best practices. 
• Experience in managing multiple projects simultaneously. 
• Excellent written and verbal communication skills. 
• Strong interpersonal skills and the ability to work effectively with diverse teams. 
• Ability to conform to shifting priorities, demands, and timelines through analytical and problem-solving capabilities. 
• Ability to elicit cooperation from a wide variety of sources, including upper management, clients, and other departments.                                               

Additional education & qualification requirements

• Must have Pharma and life science domain knowledge.
• Must have data management knowledge.
• Must have strong program management experience.
• LANGUAGES
• Business fluent in English (written and spoken)