Manager, IT Applications responsible for overseeing, developing, and optimizing key business applications at Liebherr. Ensuring systems are reliable and aligned with business needs while contributing to strategic IT planning.
About the role
- Manager for Decision Science Products at Disney, leading data analytics product lifecycle. Collaborating within cross-functional teams to shape business decisions via tech-enabled analytics.
Responsibilities
- Own the end-to-end product lifecycle for new decision science products—from discovery and ideation through launch, adoption, and continuous delivery.
- Define product strategy and multi-release roadmaps; translate user and market insights into prioritized backlogs and clear outcomes.
- Lead cross-functional squads (engineering, data science, data engineering, UX) to scope solutions, run experiments/prototypes, and deliver high-quality releases on time.
- Convert complex analytical and technical concepts (forecasting, optimization, machine learning) into intuitive user experiences and actionable business capabilities.
- Integrate user research, usability studies, and market analysis into requirements; champion user-centric design and measurable success criteria (OKRs/KPIs).
- Establish and improve product development practices (agile ceremonies, backlog hygiene, release planning, and change management).
- Guide solution testing and validation (unit, integration, UAT, and A/B testing) to ensure reliability, performance, and business impact.
- Partner with client stakeholders as a strategic advisor; communicate roadmaps, trade-offs, and results through compelling narratives and visuals.
- Develop and mentor team members; foster an inclusive, collaborative culture that embraces learning and experimentation.
Requirements
- 8+ years of experience including data science product management for technology-based data/analytics or software products, data science product management consulting, and/or novel data science and advanced analytics solution development.
- 2 + years of experience leading cross-functional teams or agile squads in a matrixed environment.
- Proven ability to translate technical requirements and analytical methods into customer-facing features and business outcomes.
- Demonstrated experience with agile product development (e.g., backlog management, sprint planning, roadmap definition).
- Experience partnering closely with engineering, data science/decision science, data engineering, and UX/design functions.
- Ability to synthesize user research, usability testing, and market analysis to drive prioritization and product strategy.
- Strong storytelling and executive communication skills with the ability to simplify complex analytics into clear, actionable recommendations.
- Familiarity with statistical/ML concepts, forecasting and/or optimization, and data visualization; ability to query and analyze data (e.g., SQL).
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package
- full range of medical, financial, and/or other benefits
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