Digital Learning Strategist, Delivery / SVP

The Digital Learning Strategist, Delivery Manager will report into the Digital Learning and Talent team and is a strategic professional responsible for leading the strategy, delivery, ongoing management and evolution of key applications within Citi's global learning technology ecosystem. The role leads multifaceted, complex, global and cross-business technology initiatives within Citi Learning and serves as a product and technology leader for learning delivery platforms. You will consult on business needs; initiate projects; assess and determine appropriate project development life cycles; create and manage integrated project plans; establish scope, schedule and cost baselines; manage and direct work; monitor and control delivery; perform integrated change control; and evaluate overall project and product performance. The role will stay abreast of innovation in learning and development and emerging technologies, including Artificial Intelligence (AI), automation and new capabilities available through Citi and external technology providers. The role will lead the identification and implementation of opportunities to use AI and automation to improve efficiency, simplify processes and enhance learner and administrator experiences. Developed communication and diplomacy skills are required to guide, influence and support strategic direction and decisions. This Learning Strategist provides advice and counsel related to the technology and operations of the business, manages existing learning systems and partners across Learning, HR Technology, Implementation Services, Operations, Risk and external vendors on new capabilities and innovation. The role will also manage a team of product managers who support delivery applications within the learning ecosystem, providing strategic direction, developing team capabilities and enabling the team to identify and implement technology and AI-driven improvements across its portfolio.

Learning technology strategy and product ownership

• Provides leadership, product ownership and strategic direction for learning delivery applications, driving prioritization, standardization, scalability and alignment across the learning ecosystem.

• Defines and executes product strategies and roadmaps for assigned learning systems, including Docebo and other learning delivery technologies.

• Manages large, multifaceted technology initiatives or multiple initiatives simultaneously with cross-business, cross-functional or global impact.

• Leads projects through requirements, planning, implementation, testing, deployment and transition into sustainable ongoing operations.

• Supports onboarding, knowledge acquisition and ongoing management of the team. Assigns responsibilities, establishes accountability and develops the team's capabilities.

• Leads and develops a team of product managers responsible for learning delivery applications and related technology initiatives.

• Partners closely with HR Technology and Implementation Services to define project scope and objectives through implementation and manage platforms end-to-end, including technical issues, integrations, data concerns and operational challenges.

AI, automation and innovation

• Leads the identification, prioritization and implementation of AI and automation opportunities across learning technology and delivery processes.

• Partners with the team to identify manual, repetitive, high-volume or error-prone processes that can be simplified, automated or redesigned through AI, workflow automation or existing platform capabilities.

• Evaluates AI capabilities available within strategic learning technology vendors and determines opportunities to leverage vendor-native capabilities versus internally developed Citi solutions.

• Translates business and operational challenges into clearly defined AI use cases, requirements, expected business outcomes and implementation opportunities.

• Partners with Technology, Architecture, Risk and other appropriate stakeholders to evaluate and implement AI solutions consistent with Citi requirements and governance.

• Leads or sponsors proofs of concept and pilots, evaluating results and determining opportunities for broader adoption.

• Establishes measures for technology and AI-enabled efficiency improvements, including reduction of manual effort, process simplification, error reduction, cycle-time improvement and improved learner or administrator experience.

• Develops AI capabilities within the product management team so team members can proactively identify and advance opportunities within their respective platforms.

Vendor and technology ecosystem leadership

• Manages strategic vendor relationships and works to influence vendor roadmaps, service capabilities, platform improvements and innovation.

• Continuously evaluates existing vendor capabilities to determine whether additional technology or internally built solutions are necessary before introducing new applications or processes.

• Partners with internal Technology teams on technical requirements, integrations and sustainable solutions that reduce reliance on manual workarounds.

• Stays current on learning technologies, AI and emerging technology trends and leverages expertise to develop learner-centric and administrator-centric performance support solutions.

• Evaluates emerging capabilities for alignment with Citi's learning technology strategy, operating model, controls and long-term ecosystem direction.

• Identifies technology, operational, implementation and vendor risks and works with appropriate partners to mitigate them.

• Uses data and operational insights to identify opportunities for platform enhancements, automation and improved decision-making

Stakeholder and organizational leadership

• Promotes strong working relationships across projects and products, developing trust and communication among stakeholders.

• Consults, advises, influences and builds relationships with stakeholders at all levels across Citi.

• Creates alignment across Learning, Technology, Operations, Data, Risk and vendor partners when delivering complex learning technology solutions.

• Translates complex technology topics into business impacts, decisions, risks and opportunities for senior stakeholders.

Qualifications:

Required

• Minimum 5 years of technology product management, project/program management, digital learning technology or related experience, with demonstrated ability to manage complex initiatives, dependencies, deadlines and outcomes.

• Proven experience managing enterprise HR, Learning or comparable SaaS technology products through identification, implementation and ongoing product lifecycle management.

• Experience with Agile/Scrum methodologies and tools such as JIRA.

• Exceptional consulting, stakeholder management and relationship-building skills.

• Demonstrated experience managing strategic technology vendor relationships.

• Strong technical acumen and business-analysis capability with the ability to translate business needs into product requirements and technology solutions.

• Demonstrated experience identifying opportunities for process automation, AI, GenAI or other emerging technology solutions, and translating those opportunities into implementable business use cases.

• Working understanding of enterprise technology concepts including integrations, APIs, data flows, reporting and platform architecture.

• Strong leadership, negotiation, influencing and conflict-management skills.

• Ability to operate effectively in complex situations with limited guidance.

• Strong financial acumen, including experience managing project budgets and developing business cases for technology investment.

• Demonstrated people leadership and the ability to develop product, technology and AI capabilities within a team.

Preferred

• Experience with learning technology platforms such as Docebo, Degreed or comparable enterprise learning ecosystems.

• Experience with AI-enabled products, GenAI, conversational AI, intelligent agents, workflow automation or AI-enabled analytics.

• Experience evaluating or implementing technology to automate manual operational processes.

• Experience operating in a large, highly matrixed and regulated enterprise environment.

• Experience with learning technology data, integrations, reporting and analytics.

Education:

• Bachelor's/University degree or equivalent experience.

• Team manager experience.

• Vendor & Stakeholder management experience.

• LMS Tools, Docebo is a plus.

• Project Management skills

• AI Expertise

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Job Family Group: Project and Program Management

Job Family: Project Management

Time Type: Full time

Primary Location: Jacksonville Florida United States

Primary Location Full Time Salary Range: $130,880.00 - $196,320.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills Please see the requirements listed above.

Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date: Oct 29, 2026

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.

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