Senior Technical Product Manager

Product Management Leadership

Lead the creation and delivery of products and/or services such as data platforms, analytics products, AI-enabled capabilities, and decision support products that are trusted, scalable, well governed, adopted, and aligned to measurable outcomes and that maximize value for the enterprise and its customers.

Define overall product/service vision and strategy for data, analytics, and AI products across multiple business units, create product plans and roadmaps, make recommendations to management and executive team, and communicate plans both internally and externally.

Effectively lead a cross-functional and/or cross LOB team to ensure successful delivery of product initiatives, including creating product requirements documents or strategy documents related to data products, analytics capabilities, AI-enabled solutions, data governance, adoption, and technical dependencies.

May act as a lead for associate product managers and/or other team members and may mentor lower level partners on data and analytics driven product practices.

Promote enterprise adoption, enablement, and measurable business value.

Work with business partners and provide direction regarding enterprise adoption, enablement, communication, trusted sources of truth, and end-user readiness for assigned product portfolio.

Serve as central resource and decision maker for all assigned products and initiatives, and coordinate with business partners to address and resolve product and/or client specific issues and business rules.

Conduct ongoing product performance, usage, adoption, value, technical consumption, and portfolio evaluation to ensure products remain accurate, trusted, discoverable, reusable, scalable, cost-effective, and aligned to business outcomes and meet operational, financial, and enterprise success goals.

Partner with the business and technology stakeholders to identify opportunities where analytics, automation, and AI can improve decision-making, efficiency, customer experience, and operational outcomes.

Balance product trade-offs across speed, accuracy, scalability, governance, usability, technical complexity, operating cost, and timeframes when prioritizing product initiatives.

Job Specifications

Typically has the following skills or abilities:

Bachelor's degree in computer science, data science, statistics, marketing, business, engineering or related field or equivalent work experience, graduate degree in business (MBA) is strongly desired.

Six years of experience in product management with significant responsibility for data, analytics, AI-enabled products, data platforms, or enterprise technology products.

Minimum of 6 years of experience with project or program management and proven leadership skills in complex, cross-functional technical environments.

Demonstrated ability to analyze data, product usage, technical consumption outputs, user feedback, financial information, business performance indicators, evaluate profitability, adoption, impact, value, and operating costs and identify trends.

Demonstrated ability to handle broad, complex and unstructured tasks ranging from analytical to strategic in nature, including ambiguous AI, analytics, and data product opportunities.

Superior knowledge of product and/or service development methodologies, including agile practices and product lifecycle management.

Highly skilled at managing products across operational divisions and across shared enterprise data, analytics, and AI platforms.

Highly skilled at effectively accomplishing objectives through others via influencing, delegating and strong working relationships

Proven ability to effectively communicate information to a wide variety of technical and non-technical individuals or groups at all levels of the organization

Thorough understanding of business implications, project interdependencies and system interfaces, including data governance, data quality, technical dependencies, platform reusability, and sources of truth.

Proficient at facilitating meetings and negotiating across all levels of the organization to align competing priorities, resolve product trade-offs, and drive decisions across business and technology stakeholders.

Ability to regularly exercise discretion and independent judgment in the performance of job duties.

For roles that are remote (i.e., work from home (WFH)) or hybrid (i.e., partial onsite at a VSP location and WFH), must demonstrate a high level of engagement in virtual environments, including maintaining camera presence during meetings to support effective communication and team alignment