Senior Vice President, Enterprise Data Strategy and Product

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

<p>We are seeking a Senior Vice President, Enterprise Data Strategy and Product for our Data Solutions &amp; Strategy Platform. This role is located in our Lake Mary, FL offices.&nbsp;</p><p>&nbsp;</p><p>In this role, execute the firm’s enterprise-wide strategy for client, account, and relationship data as a foundational institutional asset. This leader will drive seamless integration across <strong>Enterprise Onboarding, Enterprise Data Master, Commercial Hub</strong>, and platforms across lines of business.</p><p>This role will execute against the target operating model, executive governance, investment priorities, policy framework, and enterprise accountabilities required to replace fragmented local records and incomplete data-return paths into a seamless connected data driven value chain. The position will help establish <strong>Enterprise Onboarding</strong> as the strategic <strong>Single Front Door</strong> and <strong>Enterprise Data Master</strong> as the authoritative source of enterprise client data, and lead product strategy to replace bespoke and disconnected onboarding processes with a standardized data foundation that streamlines the movement of client data across the lifecycle, reduces duplication, improves data quality, and supports downstream operations and servicing.</p><p>Working across <strong>Data Solutions &amp; Services, Product, Engineering, Operations, Risk</strong>, and the businesses, this leader will mobilize a multi-year transformation centered on <strong>one trusted client record</strong>—strengthening controls, simplifying the firm, enhancing client service, and enabling scalable operations, regulatory reporting, analytics, automation, and AI-powered growth.</p><p>&nbsp;</p><p><strong>Key Responsibilities</strong></p><ul style="list-style-type: disc;"><li><span>Lead current-state assessments and target-state design across enterprise data flows, lineage, controls, capabilities, and operating models.</span></li><li><span>Define and execute a multi-year strategy, transformation roadmap, investment priorities, success measures, and executive recommendations.</span></li><li><span>Align Product, Technology, Architecture, Operations, Governance, Risk, and business leaders around shared enterprise data outcomes.</span></li><li><span>Challenge assumptions, resolve cross-functional dependencies, and guide senior stakeholders toward timely, high-quality decisions.</span></li><li><span>Drive initiatives from strategy and business case development through implementation, adoption, and measurable enterprise change.</span></li><li><span>Advance the product strategy for standardized enterprise onboarding and data management capabilities.</span></li><li><span>Help establish consistent, scalable data foundations that improve quality, reduce duplication, and support enterprise-wide reuse of client data.</span></li><li><span>Promote strong governance, controls, and accountability for enterprise data across the client lifecycle.</span></li><li><p><span>Partner across functions to support regulatory reporting, analytics, automation, and AI-enabled business growth.</span></p><p>&nbsp;</p></li></ul><p><strong>Required Qualifications</strong></p><ul style="list-style-type: disc;"><li><span>10+ years of experience in <strong>enterprise data strategy, data transformation, product leadership, data architecture</strong>, or a related discipline.</span></li><li><span>Demonstrated success leading <strong>multi-team, enterprise-scale data or operating model transformation</strong> in a complex environment.</span></li><li><span>Deep expertise in <strong>data lineage, architecture, governance, controls, quality, integration, and platform operating models</strong>.</span></li><li><span>Proven ability to influence executive stakeholders, build alignment, and lead decisively through ambiguity without formal authority.</span></li><li><span>Exceptional strategic thinking, communication, decision-making, and organizational change leadership skills.</span></li><li><p><span>Bachelor’s degree or equivalent professional experience in a relevant field.</span></p><p>&nbsp;</p></li></ul><p><strong>Preferred Qualifications</strong></p><ul style="list-style-type: disc;"><li><span>Experience in <strong>financial services, enterprise platforms, onboarding, client data, master data, or reference data</strong>.</span></li><li><span>Experience establishing <strong>data governance, target operating models, architecture standards, and enterprise transformation roadmaps</strong>.</span></li><li><span>Familiarity with <strong>Agile or SAFe delivery models</strong> and large-scale product and engineering organizations.</span></li></ul><p>&nbsp;</p>

⚑ 岗位信息收录自公开招聘页（ATS 官方），以雇主官网为准