Product Architect - Senior Manager

The Opportunity As a Product Architect Senior Manager you will be a hands-on, full stack technology leader to serve as the onshore engineering counterpart to our Product Manager, helping drive the development of innovative, custom AI-powered products for the pharmaceutical industry. Our products are built on AWS and integrate deeply with the marketing and content technology that pharma commercial teams rely on, especially Adobe and Salesforce. They are delivered to large global pharma clients and designed to scale to new ones. The core mandate is to drive a fundamentally new way of working: an AI-first development mindset where models and agents are applied to how we build, test, and deploy, not just to what we build. Testing is central to this. AI-generated tests, automated evaluation of AI output against validated ground truth, and continuous regression checks should be standard parts of the development cycle, not afterthoughts. This leader 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.
Lead data and analytics efforts within our Data and Analytics practice, focusing on Adobe initiatives that use advanced analysis, data manipulation, visualization, and statistical modeling to support client decision-making. As a Senior Manager you will lead complex workstreams, apply sound judgment in ambiguous situations, and guide teams through strategic problem solving while building trusted relationships across stakeholders. In this role at PwC, you will shape how data is used to identify insights, support operational improvements, and translate findings into clear actions for client teams. As a Senior Manager you will lead complex workstreams, apply sound judgment in ambiguous situations, and guide teams through strategic problem solving while building trusted relationships across stakeholders. In this role at PwC, you will shape how data is used to identify insights, support operational improvements, and translate findings into clear actions for client teams.
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
What You Must Have

At least a Bachelor's degree
At least 7 years of experience
What Sets You Apart

Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
Demonstrating senior-level client advisory experience across Adobe transformation programs
Applying systems thinking to complex data, analytics, and AI challenges
Crafting clear executive messaging that tells a holistic story
Coaching diverse teams through ambiguity while driving decisions
The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:
As PwC is anequal 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:
Learn more about how we work:
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.

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