Description:
A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre.
You can expect:
- Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them
- Competitive salary and non-contributory pension
- 30 days’ holiday plus bank holidays, with the option to purchase additional days
- Life Assurance and Private Healthcare for you and your family
- A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits
- The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year
Your Key Responsibilities
- Working closely with cross-functional teams (including product managers, data scientists, engineers, and business stakeholders) to shape, structure, and execute robust delivery plans aligned with our Objectives and Key Results (OKRs)
- Acting as the single source of truth for delivery progress, providing clear, structured, and data-driven transparency on milestones, velocity, and key performance indicators to senior stakeholders
- Driving common delivery methodologies and agile ways of working across the Applied AI Shared Services stream to optimize throughput and team collaboration
- Working collaboratively with project managers from across other Indra streams and the broader organisation to map and manage complex cross-programme dependencies, identifying collective opportunities to improve our overall ways of working and accelerate time-to-market
- Proactively identifying, tracking, and managing key risks, issues, assumptions, and dependencies (RAID), implementing mitigation plans to keep delivery on track
Your Skills And Experience
- Experience as a Project or Programme Manager, preferably delivering complex technology, AI/ML, or data initiatives within financial services or a highly regulated industry
- Solid understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts, and a passion for how AI can transform the way the bank operates
- Adept at quickly picking up technical, data, and operating model concepts, with a proven ability to translate abstract strategic ambitions into structured delivery realities
- Proactive self-starter with a "thought leader" mindset regarding delivery excellence and agile/scrum methodologies
- Strong interpersonal and communication skills, with the ability to influence, build trust, and align diverse groups across business, technology, and risk
- Highly adept at using Excel to structure, analyze, and track delivery data, and PowerPoint to craft clear, compelling narratives for executive-level audiences
- Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs