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About the Role
As a Product Architect Senior Manager, you will be a hands-on, full stack technology leader serving as the onshore engineering counterpart to our Product Manager. You will drive the development of innovative, custom AI-powered products for the pharmaceutical industry, built on AWS and integrating with marketing and content technology like Adobe and Salesforce. The core mandate is to drive an AI-first development mindset where models and agents are applied to how we build, test, and deploy, not just to what we build. You will guide and coach an offshore team spanning data science, full stack engineering, QA and testing, and DevOps, helping them rethink their day-to-day work through that lens.
Responsibilities
- Act as the onshore technical owner for the product portfolio, partnering with the Product Manager on roadmap, scope, feasibility, and delivery tradeoffs.
- Set and champion an AI-first engineering operating model where agentic development, AI-assisted testing, automated evaluation, and AI-supported deployment are the defaults rather than experiments.
- Establish a testing and quality strategy suited to AI products, including test-driven development, evaluation gates for AI accuracy, and regression coverage across integrations.
- Make validated ground truth a release gate, partnering with SMEs on gold sets and accuracy thresholds.
- Manage the LLMOps practices in production, including monitoring model performance and output quality, managing token usage and cost, and planning safe model version upgrades.
- Evaluate new models and AI capabilities against our benchmarks and recommend what to adopt for client delivery.
- Embed secure-by-design practices across the development lifecycle and lead the team through client security reviews, data protection requirements, and access control standards.
- Design AI output for auditability, including cited evidence, model and prompt traceability, and human review.
- Lead, mentor, and raise the bar for an offshore team across data science, full stack, QA, and DevOps, bridging time zones and creating clear handoff.
- Responsible technical architecture decisions, including what belongs in the reusable platform and what should stay as client-specific configuration as products scale to new clients.
- Hands-on: review code, prototype, and unblock the team on hard technical problems.
- Partner with client technology stakeholders (IT, integration, and security teams) on integrations, environments, and sign-offs.
- Represent engineering in client conversations and explain technical capability in terms of business value.
- Lead workstreams that use data analysis to uncover insights, shape decisions, and support client goals.
- Designing and delivering analytics solutions using Adobe platforms, SQL, Python, Power BI, Tableau, and related data tools.
- Translating business questions into measurement strategies, KPI frameworks, and reporting approaches that guide action.
- Building data pipelines, preparing datasets, and validating data quality to support accurate analysis and visualization.
- Applying statistical modeling, predictive analytics, and scenario analysis to identify trends, opportunities, and risks.
- Advising client stakeholders on analytics approaches, interpreting findings, and presenting clear recommendations.
- Coaching team members through complex delivery tasks while driving progress across multiple workstreams.
- Collaborating across marketing and commerce technology efforts to align analytics outputs with broader transformation objectives.
Requirements
- At least a Bachelor's degree
- At least 7 years of experience
Skills
- AWS
- Adobe
- Salesforce
- Data science
- Full stack engineering
- QA and testing
- DevOps
- Data analysis
- Data manipulation
- Visualization
- Statistical modeling
- Adobe platforms
- SQL
- Python
- Power BI
- Tableau
- Measurement strategies
- KPI frameworks
- Reporting approaches
- Data pipelines
- Datasets
- Data quality validation
- Predictive analytics
- Scenario analysis
- Client advisory
- Systems thinking
- Executive messaging
- Databases (Databricks, MS SQL)
- Visualization tools (Power BI)
- Cloud platforms (AWS, Azure, GCP)
- Predictive modeling/ML (Python, SAS)
Location
- Remote
Work Type
- Full-time
- Hybrid
Experience Level
- Senior Manager
- Senior-level
Education Level
- Bachelor's degree
Salary/Compensations
- $124,000 - $280,000
Benefits
- Medical
- Dental
- Vision
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
- Annual discretionary bonus
About the Company
- Learn more about how we work: https://pwc.to/how-we-work
Equal Opportunity
- As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
- PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
- For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.