Senior Manager, AI-Driven Product & Partner Insights

HP

Spring (TX)

On-site

USD 131,000 - 205,000

Full time

14 days+

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Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Paid parental leave

Job summary

HP in Texas seeks a leader to direct the Data Insights team, shaping the product strategy and roadmap for partner-facing and internal sales insights. You will create descriptive, predictive and prescriptive analytics that guide prioritization and action across CRM, APIs and marketing automation.

You will enable responsible AI, mentor product owners, and drive measurable business impact through scalable data products and governance.

Qualifications

Bachelor's or graduate degree in business, data, technology, marketing or a related discipline, or equivalent experience.
Typically 10+ years of relevant experience in data products, partner or sales insights, analytics, technology or sales enablement.
Proven experience leading product teams and delivering data-driven capabilities across business and technology organizations.
Strong understanding of CRM, account-based marketing, sales cycles, sales management and channel business models.

Responsibilities

Lead the Data Insights team and define the product strategy, roadmap and value proposition for partner-facing and internal sales insights.
Create descriptive, predictive and prescriptive insights that help teams prioritize customers, identify opportunities and act faster.
Drive outcomes including higher sales productivity, faster renewal, upgrade and attach cycles, and stronger marketing response.
Define how insights are delivered and activated through partner portals, internal analytics, APIs, EDI, CRM and marketing automation.
Enable responsible AI and machine-learning use of partner, customer, product and market data for predictions and recommendations.
Lead and develop a team of product owners who shape business requirements and guide execution teams from concept through adoption.
Coordinate requirements, data quality, testing, approvals and releases with business, partners and Enterprise Operations stakeholders.
Promote a trusted, centralized data approach, reducing duplicate solutions and strengthening transparency, governance and usability.