Digital S/W Engineering Product Lead Analyst, Vice President

Job description

The Digital S/W Engineering Product Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. You are responsible for the discovery, ownership & management of overall engineering remit that contributes to the Enterprise Data Privacy Strategy, and/or Data Risk and Control Framework and Data Risk Taxonomy. You will play a critical role in leading planning, discovery and implementation of the Data Privacy Governance Policy/Data Risk and Control framework. You will drive the technical build-vs-buy evaluations, define enterprise integration architectures (APIs, data flows, identity/access management, security controls), manage the product backlog, and spearhead the adoption of privacy-enhancing technologies (PET) across global business lines. The ideal candidate blends solid software engineering foundations with strong Agile Product Management capabilities, specialized knowledge of global privacy regulations (e.g., GDPR, CCPA/CPRA, LGPD), and extensive experience managing complex 3rd-party vendor products for Citi. Responsibilities: Act as the central Subject Matter Expert (SME) on Privacy by Design, automated data discovery, consent management, data subject requests (DSR/DSAR), and data lineage. Conduct technical build-vs-buy analyses and architecture evaluations for incoming SaaS platforms, ensuring compatibility with enterprise microservices, cloud infra (AWS/GCP), and hybrid environments. Partner with Enterprise Architecture, Information Security, and Core Engineering teams to design resilient, scalable, and secure API integrations, webhooks, event-driven pipelines, and data sync workflows. Guide engineering squads on RESTful API consumption/creation, data mapping, identity integration (OAuth2, SAML, OIDC), and telemetry/observability. Provide hands-on technical guidance on privacy automation within CI/CD pipelines, SDK integrations, and synthetic/masked data generation. Lead product discovery through collection, detailed technical build vs buy analysis, review, documentation and communication of business needs and requirements, to understand requirements and align these to Data Governance and/or Data Risk and Controls standards to drive appropriate solutions. Support key Data Privacy initiatives across the organization as Subject Matter Expert. Translate complex regulatory frameworks, enterprise data governance policies, and data risk taxonomies into actionable technical user stories, epics, and acceptance criteria. Collaborate with colleagues to ensure timely execution of milestones, provide reporting of potential risks to delivery, and incorporate milestone reporting and changes. Capture requirements, develop detailed delivery of roadmaps and manage the entire lifecycle of metrics and report production. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Cross-collaborate with architects and product managers to define system architecture, ensuring it is scalable, resilient, and secure. Recommended Qualifications : 6+ years of experience, Banking or Finance industry preferred in a Data Governance/ Data Product Management/ Engineering or related area. Hands-on background in software development with proficiency in at least one modern language (Java, Python). Proven expertise with RESTful APIs, microservices architectures, distributed systems, and integration middleware (Kafka, MQ, API Gateways). Strong grasp of cloud native paradigms (Kubernetes/OpenShift, AWS/GCP, Docker) and enterprise security/auth protocols (OAuth 2.0, SAML, mTLS). Detailed working knowledge of procedures and tenets of Global Data Privacy Laws including but not limited to GDPR, CPRA, CCPA, etc. Expertise in at least one server-side language such as Java or Python. In-depth knowledge of data structures, algorithms, and software design patterns. Proven expertise in Excel, PowerPoint, JIRA, Confluence and SharePoint. Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; able to drive consensus, and influence relationships at all levels. Collaborate effectively by building partnerships and working well with others to meet shared objectives. Expertise in enterprise data governance frameworks, metadata management, automated data discovery, classification, and DSAR workflows. Deep experience in SaaS lifecycle governance: vendor evaluation, integration architecture, security reviews, SLA monitoring, and contract/license tracking. Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between seeing the “big picture” while paying close attention to detail. Organizational savvy: understands systems, management processes, knows where to go for information and how to interpret them. Working knowledge of Data Operating Model practices, Data Governance and Data Compliance & Security laws within large, financial services firms. Education: Bachelor’s/University degree, Master’s degree preferred ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location Full Time Salary Range: $120,800.00 - $170,800.00 ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. ------------------------------------------------------ This job opening is for an existing job vacancy. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 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