Senior Technical Product Manager

VSP Vision Care; United States; On-site; USD 84,000 - 142,000; Full time

Benefits offered by this job

Bonuses and commissions

Job summary

VSP Vision Care seeks a Senior Product Manager to lead the creation and delivery of data platforms, analytics products, and AI-enabled capabilities that maximize value across the enterprise. You will define vision and strategy for data and analytics across business units, build roadmaps, and communicate plans to stakeholders.

You will lead cross-functional teams, drive governance, adoption, and measurable business value, and mentor Associates as needed. Remote/hybrid work options may apply.

Qualifications

• 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.

Responsibilities

• Lead the creation and delivery of data platforms, analytics products, AI-enabled capabilities, and decision support products.
• Define overall product vision and strategy for data, analytics, and AI across multiple business units, create roadmaps and communicate plans.
• Lead cross-functional teams to deliver product initiatives with PRDs and strategy documents addressing data governance and adoption.
• Promote enterprise adoption, enablement, and measurable business value.
• Coordinate with business partners to ensure trust sources of truth and end-user readiness for the product portfolio.
• Act as central resource and decision-maker for assigned products and resolve client-specific issues.
• Monitor product performance, usage, adoption, value, and technical consumption to ensure alignment with business outcomes.

Education

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.

Job description

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

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,

Salary Ranges: $84,000.00 - $141,750.00

VSP 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.

As a regular part of doing business,VSPVision (“VSP”)collects many different types ofpersonal information, including protected health information, about ouraudiences, includingmembers, doctors,clients, brokers, business partners,andemployees. VSP Vision employees will have access to this sensitive personal information and are subject to follow Information Security and Privacy Policies.