Responsibilities:
• Build trusted partner relationships with senior client stakeholders and internal account managers.
• Manage and drive collaborative, value‑centered approaches to defining and solving data‑related challenges.
• Coordinate with Senior Leadership to co‑develop account plans and strategies for data‑driven opportunities and business development.
• Generate revenue within the client account portfolio by identifying data opportunities and enabling a wide range of data & analytics engagements, particularly in the financial sector.
• Serve as the principal consultant leading complex data transformation initiatives.
• Develop and contribute to strategic deliverables such as mission statements, assessments, and roadmaps.
• Participate in data‑related pre‑sales activities, including opportunity assessment, responding to RFPs, preparing proposals, and supporting deal closure.
• Lead team development efforts while supporting strategic client accounts.
• Drive client value and business growth by meeting revenue targets.
• Improve internal business operations by achieving targeted billable utilization.
• Contribute to the Data & Analytics Lab’s go‑to‑market strategy, offerings, methodologies, and other strategic initiatives.
Requirements:
• 5+ years of experience in the financial domain.
• Hands-on experience driving data strategy, data governance, data maturity assessments, and data‑driven transformation initiatives.
• Practical experience influencing data solution design and technology selection for enterprise data platforms, data warehouses, data lakes, lake houses, and data science platforms.
• Strong understanding of data and technology consulting practices.
• Proven expertise in managing large data‑driven programs and driving revenue growth within an account portfolio.
• Demonstrated ability to build and develop data & analytics business development or sales engineering organizations.
• Track record of successfully managing complex technology initiatives while engaging with senior business and IT stakeholders.
• Ability to develop and grow client relationships and lead the definition and adoption of data strategies.
• Comfortable operating at a strategic level while remaining close enough to the details to provide meaningful insight.
• Good understanding of data and analytics trends.
• Experience interacting with customers, managing expectations, and communicating solutions and deliverables to senior stakeholders.
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