Lead Technical Program Manager managing data delivery for complex, cross-functional technical solutions. Overseeing development and optimization of data pipelines and enhancing AI capabilities at Northwestern Mutual.
Responsibilities
Plan, coordinate, and actively manage the data delivery plans for complex, cross-functional technical solutions.
Oversee the development and optimization of data pipelines and integrating AI capabilities to enhance data-driven decision-making.
Lead and align one or more large, complex initiatives consisting of multiple efforts, with a focus on data delivery.
Establish strong connections across teams and work streams to identify and facilitate interdependencies and establish sequencing.
Create a cohesive, unified plan to achieve program objectives, ensuring alignment with the interim and target state enterprise data strategy.
Identify, assess, and mitigate program risks and issues, proactively removing impediments to ensure smooth project execution.
Foster a culture of continuous improvement and collaboration.
Requirements
Bachelor’s degree in Business Administration, Computer Science, Information Systems, or a related field, or an equivalent combination of education and work experience.
Minimum 6 years of professional experience, with at least five years of project management within technology and/or business functions.
Demonstrated experience with program management methodologies and governance, with a strong emphasis on managing data dependencies and sequencing.
Proficiency in project management methodologies and SDLC, with working knowledge of project management/agile tools.
Strong “influence without authority” management skills.
Deep understanding of software development, testing, and implementation, as well as technical concepts related to data management and AI.
Exposure to managing data pipelines and integrating AI tools to enhance data processing and analytics capabilities.
Ability to work closely with engineers, product managers, and business leaders, fostering collaboration and alignment.
Experience managing large-scale, cross-functional initiatives using various delivery methodologies (e.g., waterfall, agile, lean, scrum).
Strong analytical and problem-solving skills, with a focus on identifying and resolving complex data-related issues.
Intellectual curiosity and a desire to delve into details, learn, ask questions, and become the "go-to expert" on data-related concepts and topics.
Proven ability to lead highly visible multidisciplinary project teams or initiatives, providing thought leadership and strategic direction.
Capability to solve unique problems with broad impact on the business, requiring conceptual and innovative thinking to develop solutions.
Ability to impact the direction and resource allocation for programs, projects, or services, working within general department policies and industry guidelines.
Excellent communication skills, with the ability to explain difficult or sensitive information and build consensus across diverse teams.
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