Are you passionate about using data to drive strategic decisions, foster business growth, and enhance organizational culture? Then this is the right fit for you!

As an Executive Director - Head of Data & Analytics Strategy within our organization, you will play a pivotal role in shaping our firm's data strategy. Your responsibilities will include maximizing the use of data for business outcomes and promoting a culture that prioritizes data-promote decision-making. You will be tasked with defining and implementing the Data & Analytics strategy, working closely with senior stakeholders, and conveying complex data insights in a comprehensible manner to non-technical stakeholders. This strategic position demands a combination of analytical prowess and business insight to deliver impactful results that guide strategic decisions.

 Job Responsibilities:

Define and implement the Data & Analytics strategy to support business objectives, operational efficiency, and competitive advantage. Collaborate with senior leaders to translate business needs into data-centric initiatives. Communicate complex data concepts to non-technical stakeholders clearly and effectively. Provide strategic insights and storytelling for senior leadership forums and ad-hoc requests. Drive alignment through constant engagement with stakeholders, incorporating their feedback and shaping their thinking. Lead and mentor a high-performing team, fostering innovation and collaboration. Manage dependencies and build strategic partnerships across different teams. Establish a data-driven culture within the organization, promoting data use in decision-making processes.

Required Qualifications, Skills, and Capabilities:

PhD or MSc in a scientific field (Mathematics, Physics, Computer Science, Engineering, etc.). 10+ years of Financial Services technology experience. 5+ years of management experience. 5+ years of experience in Corporate Strategy (in-house or consulting firm). Fluency in technical Data and Analytics concepts and practices. Strong storytelling capabilities and ability to communicate complex concepts to senior leadership. Strong commitment to iterative development and stakeholder engagement, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle

Preferred Qualifications, Skills, and Capabilities:

Ability to quickly develop hypotheses and plans for refinement. Outcome-oriented with a fundamental understanding of business constraints. Experience with Cloud and Big Data platforms (e.g., AWS, Snowflake). Experience leveraging AI/ML/Advanced Analytics for impactful outcomes.