Senior Manager - Product & Partner Data Insights

• The role leads a team of typically 8-12 members and reports to the Senior Director, GTM Data & Insights, within the Global Revenue Operations organization.
• Lead the strategy and delivery of AI-enhanced product and partner insights that turn data into clear, scalable sales and marketing actions.

Description -

Job Summary:

• The role leads a team of typically 8-12 members and reports to the Senior Director, GTM Data & Insights, within the Global Revenue Operations organization.
• Lead the strategy and delivery of AI-enhanced product and partner insights that turn data into clear, scalable sales and marketing actions.

Job 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.

Key Deliverables/accountabilities

• Measurable substantial business impact from actionable insights that are embedded in partner and sales workflows, with clear adoption and business-value measures.
• Scalable delivery of customer-specific recommendations, buying predictions, performance benchmarks and renewal or attach opportunities.
• Reliable, AI-ready data products that partners and sales teams can understand, trust and activate.

Education & Experience Recommended

• 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.
• Driving license could be an advantage.
• Fluency in English language (both written and verbal).

Personal Skills And Qualities

• Demonstrated data, intelligence and technology innovator
• Analytical mind
• Sales enabler and value creator
• Partner, product and customer insights
• Predictive and prescriptive analytics
• Product-owner leadership
• Analytical problem solving

Cross-Org Skills

• Customer Centricity
• Prioritization
• Resilience
• Team Management
• Strategic Thinking

Technical skills (procedures and documents the employee has to be acquainted with):

• Understanding of CRM, ABM, sales cycle, sales management, marketing automation
• Data affinity
• API, data transfer methodologies
• AI and machine learning
• Data quality and governance

Sales and Services Entity (ES11)

For Us Applicants

The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits

HP offers a comprehensive benefits package for this position, including:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including;
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave (US benefits overview
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The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"

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