Lead day‑to‑day operations for Reel Saga, translating GM priorities into actionable plans and managing cross‑functional teams across product, marketing, UA and monetization.
Responsibilities
Run weekly business rhythm across performance, delivery, UA, monetization and content production
Turn roadmap and quarterly priorities into plans, milestones, owners and targets
Track delivery across product and technology, identify risks and drive recovery
Lead Performance Marketing, Product Marketing, Product, UI, Web‑to‑App and Social Media teams
Own UA execution within budget, including channel allocation, pacing, creative testing and attribution
Advise clients on opportunities across content production and management, distribution, streaming, audience engagement and monetisation.
Lead the development of technology solutions for strategic pursuits, working closely with Client Partners, Sales, Engineering and Delivery.
Connect business priorities with practical approaches across software engineering, AI, cloud, data and digital platforms.
Build trusted relationships with senior leaders and represent Endava in client discussions and industry forums.
Bring your iGaming experience to relevant client conversations and opportunities, drawing on your understanding of digital platforms, player experiences, data or operations.
Requirements
A bachelor’s degree or equivalent practical experience
Design and lead technical solutions for analytics engineering, mentoring engineers and driving delivery of complex data products on modern cloud platforms.
Responsibilities
Design technical solutions that integrate data pipelines, models, and user experiences
Break complex analytics or AI feature areas into clear engineering plans
Lead code and design reviews
Work closely with data scientists, AI engineers, and product managers to prototype and productionise systems
Mentor junior engineers
Requirements
Bachelor’s degree in Computer Science (or related field)
Lead the Data & AI Platforms tower, owning strategy, roadmap, and operations for enterprise data and AI platforms on AWS and Databricks, while managing cross-functional teams and ensuring platform stability during the company separation.
Compensation
The anticipated base pay range for this position is : $168,000.00 - $290,950.00
Responsibilities
Own strategy, roadmap, budget and run of enterprise Data & AI platforms on AWS and Databricks
Turn target-state architecture and standards into platform services
Stand up and stabilize cloned and transitional platforms during separation
Plan and deliver TSA exits from Johnson & Johnson platforms
Consolidate regional and functional data lakes, ingestion frameworks and BI tools onto one governed lakehouse
Requirements
Bachelor’s degree in Computer Science, Engineering or a related technical field
Nice to have: Master’s degree in Computer Science, Engineering or a related field
Nice to have: medical device
Nice to have: life sciences
Nice to have: regulated industry (GxP, CSV/CSA, 21 CFR Part 11, data privacy)
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership
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