This role offers location flexibility and is open to candidates across the United States.Candidates based in the Dallas-Fort Worth (DFW) area will be hired in a hybrid capacity and are expected to work onsite at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities.About the Role: The Sr. Technical Product Manager (TPM) for eCommerce Core will own the Search Experience across digital commerce journeys, enabling customers to quickly discover the right products through intuitive, relevant, and high-performing search. This role defines and delivers a roadmap that drives measurable improvements in findability, conversion, and customer efficiency.
The TPM partners closely with engineering, design, analytics, and business stakeholders to translate experience goals into actionable requirements, instrument key search metrics, and lead structured experimentation. By embedding A/B testing and data-driven iteration at the core of product development, this role continuously optimizes relevance, conversion, and business outcomes while de-risking decisions through validated insights.
Success in this role requires strong technical acumen (APIs, data models, integrations), analytical rigor, and the ability to influence cross-functional teams without direct authority-ensuring alignment with architectural standards, privacy/compliance expectations, and enterprise business goals.
What You'll Do: Product Ownership & Execution- Owns the end-to-end Search product (web/mobile), including vision, roadmap, and lifecycle execution-from discovery and definition through launch, iteration, and ongoing optimization.
- Defines and prioritizes search capabilities and outcomes (e.g., relevance, facets/filters, synonyms, ranking, and results UX), balancing customer value with technical feasibility and time-to-value.
- Leads search discovery and structured experimentation-partnering with UX, analytics, and engineering on research, prototyping, A/B tests, and pilots to validate hypotheses and scale what works.
- Translate customer, business, and platform needs into PRDs, epics, and user stories with clear relevance requirements, acceptance criteria, and analytics/telemetry instrumentation.
- Owns and prioritizes the search backlog in collaboration with engineering and design-making explicit trade-offs across relevance/UX, latency/performance, data quality, scalability, and operational health.
- Drives delivery excellence through agile execution, release/experiment cadence, and KPI-based outcome tracking; proactively manages risks (e.g., relevance regressions, latency, and data integrity) and communicates progress, dependencies, and decisions.
Technical Collaboration- Work closely with engineering teams to ensure search solutions are feasible, scalable, and aligned with architectural standards (e.g., relevance logic, indexing strategy, and performance/latency targets).
- Work with engineering and testing teams to develop and apply A/B testing methodologies to validate best-in-class feature and functionality enhancement.
- Understand APIs, catalog/search data models, indexing pipelines, and system integrations to guide development.
- Participate in sprint planning, standups, and retrospectives to drive on-time delivery and continuous improvement of search experience outcomes.
Customer & Stakeholder Engagement- Builds strong, trust-based relationships with internal and external stakeholders, including engineering, design, analytics, business units, customer success, and executive leadership, to align on search experience outcomes, priorities, and trade-offs.
- Interface with internal stakeholders (e.g., customer success, sales, support, merchandising, and catalog/content partners) to gather input, resolve search experience pain points, and validate proposed solutions.
- Regularly uses customer and user feedback loops to inform prioritization and iteration of the search experience (e.g., usability testing, customer interviews, support signals, zero-results patterns, and refinement behavior). Partners with design to run discovery and testing that validates improvements before scaling.
Data-Driven Decision Making- Use analytics and observability tools to monitor search performance and experience quality, identify issues, and propose improvements.
- Demonstrate measurable improvements in product reliability, scalability, and performance, as reflected in KPIs such as uptime, latency, error rates, and system throughput.
- Drives enhancements that improve findability and customer satisfaction, measured through usage analytics, feedback signals, and customer experience metrics.
- Consistently delivers features and improvements on time and within scope, with minimal rework or technical debt, tracked through sprint velocity, cycle time, and release cadence.
Documentation & Communication- Create and maintain product documentation, including technical specs, release notes, and user guides.
- Communicate progress, risks, and dependencies to cross-functional teams.
- Develop and socialize product roadmaps, decision logs, and technical rationale to ensure transparency and alignment across teams.
- Facilitate knowledge transfer and continuity by documenting key product decisions, architectural trade-offs, and lessons learned for future reference and onboarding.
Basic Requirements: - Degree or equivalent and typically requires 7+ years of relevant experience.
- 7+ years in progressively advancing technical product management roles.
- 7+ years proven experience working with and influencing highly matrixed teams.
- Hands-on experience in health care industry and/or regulated environment is a plus.
- Demonstrated understanding of the product lifecycle, agile methodologies, and digital transformation-plus experience delivering customer-facing search/discovery or high-traffic UX capabilities.
Preferred Skills/Experience: - 7+ years of experience building business cases.
- The following (or similar) certifications are optional but advantageous: Certified Product Manager (CPM); Scrum Master, SAFe, etc.
- Demonstrated ability to engage engineering, architecture, data, and UX teams to evaluate technical trade-offs, influence solution design, and ensure feasibility of search experience strategies (including relevance, indexing, and performance considerations).
- Working knowledge of modern digital architectures, APIs, cloud platforms, and analytics/experimentation practices; familiarity with search concepts (e.g., relevance measurement, ranking, facets, synonyms) and inclusive UX/accessibility expectations.
Physical Requirements: - Traditional Hybrid office environment.
- Commutable to Irving, TX is preferred but not required.
- Travel up to 20%.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position$136,500 - $227,500
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