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
#LI-VISIONCARE
Compensation range for the role is listed below. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. As a part of the compensation package, this role may include eligible bonuses and commissions. For more information regarding VSP Vision benefits, please click here.
Salary Ranges: $84,000.00 - $141,750.00VSP Vision is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, gender, race, color, religion, sex, national origin, disability or protected veteran status. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
Unincorporated LA County Residents: Qualified Applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, and any other similar laws.
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Skills Required
- Bachelor’s degree in Computer Science, Data Science, Statistics, Marketing, Business, Engineering, or a related field, or equivalent work experience.
- Graduate degree in business, such as an MBA.
- Six years of product management experience with significant responsibility for data, analytics, AI-enabled, data platform, or enterprise technology products.
- Minimum six years of project or program management experience.
- Proven leadership skills in complex, cross-functional technical environments.
- Ability to analyze product usage, technical consumption, user feedback, financial information, business performance indicators, profitability, adoption, impact, value, and operating costs.
- Ability to manage broad, complex, ambiguous, and unstructured analytical and strategic tasks involving AI, analytics, and data products.
- Superior knowledge of product and service development methodologies, Agile practices, and product lifecycle management.
- Experience managing products across operational divisions and shared enterprise data, analytics, and AI platforms.
- Ability to accomplish objectives through influencing, delegation, and strong working relationships.
- Ability to communicate effectively with technical and non-technical individuals and groups at all organizational levels.
- Understanding of business implications, project interdependencies, system interfaces, data governance, data quality, technical dependencies, platform reusability, and sources of truth.
- Ability to facilitate meetings, negotiate across organizational levels, align competing priorities, resolve product trade-offs, and drive decisions.
- Ability to exercise discretion and independent judgment.
- For remote or hybrid roles, high engagement in virtual environments, including maintaining camera presence during meetings.
What We Do
VSP Vision Care is a not-for-profit organization founded in 1955, providing vision benefits, eye care insurance, eyewear, and lenses, and reinvesting in communities.
