• Lead multiple product initiatives end-to-end—from discovery and validation through delivery and adoption. • Drive adoption and maturity of data mesh and data platform capabilities across engineering, analytics, and product teams. • Build scalable, simplified data systems that reduce complexity and unlock durable customer value. • Partners with engineering, design, program management, and vertical market teams to define and execute product strategy. • Prioritize and sequence backlogs with rigor, transparency, and business-outcome alignment. • Identify and solve cross-team problems proactively, removing ambiguity and driving clarity for global partners.

• You will be one of the early data science hires shaping how Purpose understands the clients on our wealth platform. • You'll build the measurement architecture, behavioral models, and causal infrastructure that connects product decisions to client outcomes. • Determine what is worth measuring in a platform generating thousands of behavioral signals. • Design AI analytics systems with the rigor of a statistician.

• Lead the end‑to‑end execution of Start‑up, Commissioning, and aftermarket service projects within the Data Center Services Center of Excellence. • Set clear guidelines, define tasks and milestones, and drive performance through strong coordination, motivation, and feedback. • Safeguard and elevate customer satisfaction by ensuring all requirements, commitments, and project targets are consistently met, delivering high‑quality service at every stage of the engagement. • Establish execution approach and oversee project hand-over, planning, monitoring and control activities for internal and external resources and accomplishing project goals. • Manage the development of project planning documents. • Monitor projects to ensure best practices in cost control, resource efficiency and Health, Safety & Environment (HSE). • Analyze and address project risks, and regularly disseminate lessons learned. • Work with other functions to coordinate contract negotiations and claims with customers. • Manage external suppliers to ensure availability of equipment, systems, material and services. • Serve as an escalation point for project issues. • Achieve project deliverables and compliance with contract requirements. • Build strong relationships with customers and stakeholders.

• Lead the early formalization of enterprise data governance, active metadata management, data quality documentation and management and the definition of data access rights • Socialize data related standards by defining foundational taxonomies, data dictionaries, data lineage documentation and ontologies • design and manage a continuous Data Governance Lifecycle to certify data readiness for AI • Gather lessons learned and seamlessly add new domains as data requests are prioritized • Empower and unite cross-functional teams • Be the change agent to enable user adoption of data governance processes • Work to ensure that data is compliant with all applicable requirements including CCPA, SOX, GDPR, HIPAA