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We're hiring a Senior Performance Marketing Leader to own and scale our paid acquisition engine. This role sets strategy across all paid channels, partnering with our agency and internal stakeholders to drive data-led growth through advanced analytics and rigorous testing. Working closely with leadership, you'll translate business goals into high-impact campaigns across complex, multi-platform ecosystems.
We are looking for a strategic and driven Senior Product Manager to lead the marketing and financial performance of an assigned product portfolio in our Consumer Health business. The role will be responsible for planning, implementing, analyzing, and controlling the annual marketing plan to achieve business objectives.
Responsible for identifying key commercial challenges through data-driven insights and translating these into strategic recommendations across pricing, mix, trade promotions, and trade terms. The role ensures all decisions consider the needs of consumers, customers, competitors, and the company.
The FP&A Manager role in the retail industry focuses on financial planning, analysis, and providing strategic insights to support the organization's decision-making processes.
The Portfolio Manager role in the life science and pharmaceuticals industry involves overseeing financial portfolios and ensuring optimal allocation of resources. This position requires expertise in accounting and finance to drive strategic decision-making and operational efficiency.
The Chief Information & Data Officer will oversee the strategic direction and management of information technology and data initiatives within the finance industry. This role will focus on driving innovation, ensuring data integrity, and aligning IT strategies with business objectives.
This role is a key position within the risk organization, leading modeling initiatives for UnionDigital's Risk Management team. He will develop and refine scoring models across various risk domains using both traditional methods and advanced AI/ML techniques. In partnership with the tech team, he will design ML Ops pipelines and frameworks to enable rapid deployment and automated monitoring of models.
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