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For Companies At a Glance
- Tasks: Lead a high-profile data transformation program in financial services, ensuring timely delivery and stakeholder engagement.
- Company: Join a dynamic team in Belfast, driving innovation in the financial sector with a global impact.
- Benefits: Enjoy hybrid work options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of a complex transformation, making a real difference in data strategy and execution.
- Qualifications: Must be a certified SAFe Agilist or SPC with experience in managing large-scale data programs.
- Other info: Work with a diverse team of 36+ professionals across multiple locations.
The predicted salary is between 54000 - 84000 £ per year.
Job Description
Location: Belfast (Hybrid – 3 days onsite)
We are seeking an accomplished Senior Project Manager to lead a high-profile, multi-year Data Transformation Program within the financial services industry. This strategic leadership role will oversee three core data initiatives – Party Data, Instrument Data, and Data Strategy – driving delivery through the Scaled Agile Framework (SAFe) and managing a large, globally distributed team.
This is a unique opportunity to lead a complex transformation program with significant visibility and impact, requiring both strategic oversight and operational excellence.
Key Responsibilities
- Program Leadership & Delivery: Drive end-to-end delivery of the data transformation program, ensuring all initiatives are delivered on time, within scope, and on budget.
- SAFe Execution: Champion the Scaled Agile Framework (SAFe), facilitating PI Planning, managing the program backlog, and aligning cross-functional teams.
- Stakeholder Management: Act as the primary point of contact for senior business and technology stakeholders, providing clear updates on progress, risks, and milestones.
- Team Leadership: Coordinate a globally distributed team of 36+ professionals across multiple locations, ensuring effective collaboration and delivery.
- Risk & Dependency Management: Proactively manage program-level risks, dependencies, and integration points between initiatives and external teams.
- Technical Oversight: Maintain a strong understanding of the evolving technical landscape, including decommissioning of legacy systems and adoption of a new AWS-based data ecosystem.
Essential Skills & Experience
- Certified SAFe Agilist (SA) or SAFe Program Consultant (SPC) with extensive, hands-on experience managing large-scale programs using SAFe.
- Proven track record delivering complex, data-centric programs within the financial services industry.
- Expertise in managing large (30+), geographically distributed teams.
- Outstanding stakeholder engagement and communication skills, with the ability to influence at senior leadership level.
Interested? Please apply or send your CV to mbilal@redglobal.com
Senior Lead Project Manager employer: RED Global
Contact Detail:
RED Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Project Manager
✨Tip Number 1
Familiarise yourself with the Scaled Agile Framework (SAFe) if you haven't already. Understanding its principles and practices will not only help you in interviews but also demonstrate your commitment to leading projects effectively.
✨Tip Number 2
Network with professionals in the financial services industry, especially those who have experience with data transformation projects. Engaging with them can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've managed large, distributed teams in the past. Highlighting your leadership style and how you foster collaboration across different locations will be crucial.
✨Tip Number 4
Stay updated on the latest trends in data management and AWS technologies. Being knowledgeable about current tools and methodologies will show that you're proactive and ready to tackle the challenges of the role.
We think you need these skills to ace Senior Lead Project Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing large-scale data transformation programs, particularly within the financial services sector. Emphasise your SAFe certifications and any relevant achievements.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the key responsibilities outlined in the job description. Showcase your leadership skills, experience with geographically distributed teams, and your ability to manage stakeholder relationships effectively.
Highlight Relevant Experience: In your application, focus on your hands-on experience with the Scaled Agile Framework (SAFe) and provide examples of how you've successfully delivered complex data-centric programmes. Use metrics to demonstrate your impact.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your writing is clear and professional, as this reflects your attention to detail and communication skills.
How to prepare for a job interview at RED Global
✨Showcase Your SAFe Expertise
As a Senior Lead Project Manager, your understanding of the Scaled Agile Framework (SAFe) is crucial. Be prepared to discuss your experience with SAFe methodologies, including how you've facilitated PI Planning and managed program backlogs in previous roles.
✨Demonstrate Stakeholder Management Skills
Highlight your ability to engage with senior stakeholders effectively. Prepare examples of how you've communicated progress, risks, and milestones in past projects, ensuring you can illustrate your influence at leadership levels.
✨Emphasise Team Leadership Experience
With a globally distributed team of over 36 professionals, it's essential to convey your leadership style. Share specific instances where you've coordinated teams across different locations, focusing on collaboration and successful delivery.
✨Prepare for Technical Discussions
Given the technical oversight required for this role, brush up on your knowledge of data ecosystems, particularly AWS. Be ready to discuss how you've managed transitions from legacy systems to modern solutions in your previous projects.
