Senior Product Manager, Digital Messaging & Channels

Charles Schwab

Westlake (TX)

On-site

USD 150,000 - 190,000

Full time

14 days+

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Benefits offered by this job

401(k) match

Employee stock purchase plan

Sabbatical after 5 years

Parental leave & family benefits

Tuition reimbursement

Health, dental, and vision insurance

Volunteer time off

Job summary

Charles Schwab is seeking a Senior Product Manager for Digital Retail—Digital Messaging Platform and Delivery Channels. You will define strategy across email, SMS, mobile push, web messaging, and app messaging, lead a 12‑month roadmap, and align multiple teams around measurable client outcomes.

You will partner with product, technology, data/analytics, CX, and business teams to strengthen measurement, guide investments, and evolve scalable messaging capabilities, balancing pace, risk, and scale.

Qualifications

Bachelor’s degree or equivalent practical experience.
8+ years of experience in product management, platform product management, analytics product management, data strategy, or a related discipline.
Experience defining product strategy, measurable outcomes, and roadmaps for complex digital platforms or capabilities.
Strong data and analytics fluency, with demonstrated ability to use qualitative and quantitative evidence to make and explain decisions.
Experience building or leading scalable analytics, reporting, dashboard, and metrics frameworks.
Experience leading cross‑functional initiatives across business, product, technology, data, operations, risk, and customer experience teams.
Ability to synthesize complex information and communicate recommendations, rationale, tradeoffs, progress, and risks to leadership and delivery teams.
Systems thinking across platforms, channels, capabilities, and end‑to‑end client journeys.

Responsibilities

Define and evolve the strategy and 12‑month roadmap for the Digital Messaging platform and delivery channels.
Establish clear outcomes, OKRs, key performance indicators, and success measures for platform, channel, and journey‑level performance.
Build scalable analytics, Tableau reporting, and measurement frameworks that enable data‑driven decision‑making across the Digital Messaging ecosystem.
Translate complex data, client behavior, operational signals, and technical constraints into concise insights, strategic recommendations, and prioritization decisions.
Lead development of dashboards, automated reporting, and reusable analytics solutions that improve visibility into messaging effectiveness.
Define requirements for reporting automation, data quality, reconciliation, and validation in partnership with data and engineering teams.
Support strategy and optimization across email, SMS, mobile push notifications, web messaging, and mobile app messaging, considering both individual channel performance and the end‑to‑end client journey.
Lead cross‑functional initiatives that align business, technology, data and analytics, risk, operations, and customer experience teams around strategic product outcomes.
Own prioritization across new capabilities, channel enhancements, platform modernization, technical debt, defects, resiliency, and platform health initiatives.
Coordinate dependencies and sequencing across multiple teams; surface risks early and ensure mitigation actions are clear and completed.
Design and use experiments, hypotheses, and feedback loops to evaluate solution fit, learn quickly, and inform product direction.
Balance technical tradeoffs across features and teams, adjusting priorities based on feasibility, architecture, dependencies, and sequencing impacts.
Create clear product artifacts and decision documentation, including roadmaps, problem statements, business cases, measurement plans, and executive narratives.
Build durable stakeholder relationships, facilitate complex decisions, and provide clear direction that keeps teams aligned and moving forward in ambiguous situations.
Monitor industry, platform, data, and messaging trends and apply relevant insights to product strategy and capability planning.
Establish shared AI workflows, standards, and playbooks that increase efficiency while preserving design quality, accessibility, and compliance.
Partner with Product, Engineering, Risk, and Legal to pilot, evaluate, and responsibly scale AI‑enabled capabilities.
Coach and mentor junior team members and peers on how and when to use AI effectively, building fluency, confidence, and ethical judgment.
Use AI‑supported insights to inform prioritization, experience strategy, and decision making at both team and portfolio levels.
Coach peers and junior team members in analytics fluency, product practices, documentation, and outcome‑based decision‑making