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Portfolio Analyst

Allwyn Lottery Solutions
CompanyAllwyn Lottery Solutions
CategoryFinance
LocationMarousi
RemoteOn-site (inferred)
EmploymentFull-time
LevelMid
SalaryNot stated by the employer
Posted6 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (workable)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Who We Are Allwyn Lottery Solutions is a  global leader in digital lottery and gaming solutions  and a proud subsidiary of  Allwyn Entertainment Group , a multinational lottery operator with a strong presence in Austria, the Czech Republic, Greece, Cyprus, and Italy. Our mission is to  make play better for all  by developing cutting-edge technology that enhances player experiences, drives engagement, and maximizes returns for good causes. What We Do We design and deliver  innovative, scalable, and secure  lottery solutions that evolve with the needs of players and operators. Our flagship platform,  Genesis , provides a powerful foundation for lotteries worldwide, featuring:   Player Account Management (PAM)  for secure and seamless player experiences   Draw-Based Games (DBG)  for classic lottery draws   Nexus Aggregator & Apollo RGS  for e-Instants and Fast Play™ games   Web & mobile applications  for an enhanced and modern user experience   Command Admin Portal  for streamlined operations   Optex Promotions  to reward and engage players With a focus on  cloud-based technologies, AI-driven analytics, and responsible gaming , we empower lotteries to  reach new players, expand engagement, and achieve sustainable growth  in an evolving digital landscape.At Allwyn Lottery Solutions, you’ll be part of a forward-thinking, collaborative, and innovative team that is shaping the future of iLottery.  Key Accountabilities and Duties: Portfolio Data Integrity & Signal Clarity Maintain the integrated portfolio dashboard across all major initiatives. Ensure milestone confidence definitions are applied consistently across verticals. Reconcile data across tools (Jira, planning systems, BI platforms). Track schedule variance and delivery trend patterns. Reduce manual correction and narrative interpretation in reporting cycles. Capacity & Estimation Analytics Consolidate team-level capacity into a portfolio-level capacity view. Track utilisation, saturation thresholds and structural overload indicators. Analyse estimation accuracy and identify recurring bias patterns. Support scenario modelling and trade-off discussions with structured data inputs. Help embed separation between sizing, estimation and capacity planning through clear reporting. Risk, Dependency & RAID Consolidation Consolidate portfolio-level RAID themes across delivery verticals. Track risk ageing and mitigation follow-through. Highlight recurring cross-team dependency friction. Surface systemic risk patterns rather than isolated incidents. Tooling & Reporting Discipline Support implementation and ongoing configuration of the portfolio toolset. Ensure status definitions and reporting standards are applied consistently. Improve automation and reduce manual reporting overhead. Support structured Front Door tracking and demand visibility. Continuous Insight & Portfolio Improvement Identify trends in delivery predictability across teams. Highlight performance patterns that require attention. Provide structured data insight to support portfolio governance evolution. Shift conversations from anecdotal reporting to evidence-based insight. What Good Looks Like in the First 90 Days Within the first 90 days: Portfolio data across major initiatives is reconciled and trusted. Key delivery metrics are consistently available and visible across teams. Capacity data is consolidated and accurately reflects current utilisation. The portfolio toolset is configured, stable and actively used. Reporting cycles require minimal manual correction or rework. Heads of Delivery have timely, accurate analysis to support day-to-day decisions. The objective in the first 90 days is not to redesign governance. It is to strengthen signal integrity, improve data consistency and suppor
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