
Senior Portfolio Development Lead
1 day ago
Overview
We are seeking a seasoned Portfolio Manager to lead the development and management of our Data Platforms capabilities. As the successful candidate, you will play a pivotal role in shaping our strategy for the Data Platforms platform, working closely with stakeholders, data architects, engineers, and IT teams to deliver high-impact solutions.
- Key Responsibilities:
- Lead the execution of initiatives across the Data Platforms portfolio, ensuring projects are delivered on time, within scope, and to expected quality standards.
- Coordinate cross-functional teams (Business, Engineering, Architecture, Operations, Governance) to deliver tools, technologies, and platforms.
- Develop and manage project and portfolio budgets, including tracking actuals vs forecasts, accruals, and reporting on financial performance to stakeholders.
- Financial Management:
- Partner with Finance, Procurement, and Vendor Management teams to support contract reviews, platform costs, and financial planning.
- Proactively monitor financial risks and ensure alignment of project spend with approved business cases and funding models.
Required Skills and Qualifications
- Education:
- Master's degree in Business, Engineering, or related field OR Bachelor's degree with relevant experience OR Diploma with 14+ years of experience in Business, Engineering, or related field.
- Skills:
- Demonstrated experience managing project financials (budgeting, forecasting, variance analysis, cost optimization).
- Experience working in large, complex enterprise environments with cross-functional stakeholders.
- Strong understanding of data management lifecycle, data architecture, and platform components (ingestion, processing, governance, access).
- Excellent interpersonal, presentation, and negotiation skills.
Benefits
- Professional Certifications:
- Project Management Certifications.
- Agile Certified Practitioner (preferred).
- AWS certification.
Soft Skills
- Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.
- Effective problem-solving skills to address data-related issues and implement scalable solutions.
- Ability to work effectively with global, virtual teams.
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