Ex. 00 — The Thesis

I don't theorize about data problems. I've lived them.

Commercial AI strategy and data transformation for pharma and life sciences — built from a decade inside the systems commercial teams actually run on, not from a deck about them.

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Portrait of Paula Reece

Houston, TX

VerifiedEx. 01 — MDM, Takeda
+20%
Data accuracy improvement across enterprise master data governing SFE, SIP, and NBA systems.
VerifiedEx. 02 — TIDE Program, Takeda
$2M
Measurable business value delivered through change management across three business units.
VerifiedEx. 03 — Breast Cancer QDA Model
0
False negatives on a 569-case classifier — 95% accuracy using PCA dimensionality reduction.
Ex. 04 — On The Record

About

01 / 08

For over a decade I built and operated the data infrastructure that commercial teams depended on to make decisions — SFE targeting models, SIP analytics, NBA orchestration engines, launch readiness prediction, and omnichannel engagement across five therapeutic areas and 500+ field users. In MDM, I owned the data foundation. In US Medical, I owned the data and the strategy.

I was not observing commercial transformation from the outside. I was operationalizing it from within. Now I'm pairing that industry experience with an MS in Data Science at Boston College, completing August 2026 — bridging pharma commercial instincts with applied machine learning, NLP, and AI strategy.

The name of this practice is Proofs & Patterns because that's the actual method: find the pattern in the data, then prove it holds before anyone builds a strategy on top of it. The brand used to be narrower — data operations only. The work outgrew that. It's strategy, research, and governance now, with the same evidentiary standard applied to all three.

What I'm looking for: Enterprise leadership roles at the intersection of commercial AI strategy, data transformation, and pharma commercial operations — Director level and above, remote, in life sciences, healthcare AI, or data-driven commercial transformation.

  • FoundationBS, Biochemistry
  • CertificationCertified Veeva CRM Administrator
  • In progressMS Data Science — Boston College, Aug 2026
  • Board seatWomen in Leadership with AI — Univ. of New Haven
  • PlatformsReltio, Informatica, Databricks, Veeva/Salesforce
  • RecognitionInvited attendee, CTO Exchange USA 2026
Ex. 05 — Featured Work

Exhibits

02 / 08
Enterprise production system — Takeda

Real-Time Competitive Intelligence Platform — AI Agent on Databricks

Sole architect and developer of a production competitive intelligence platform for clinical trial monitoring at Takeda. Designed full data-to-insight pipeline — data acquisition, schema design, ingestion pipeline, executive dashboards, and AI agent framework for real-time signal detection in the IBD therapeutic area.

DatabricksPythonSQLAI AgentDashboard DesignDatabase Architecture
Enterprise production system
Best Predictive Model Award

Predicting S&P 500 Returns Using Volatility and Macroeconomic Indicators

Built SARIMAX model predicting SPY using VIX & Treasury yields. Achieved RMSE 6.17 with superior short-term forecasting accuracy. Awarded best predictive model in course.

PythonTime SeriesARIMA/SARIMAXGARCHFinancial Analytics
Course project View on GitHub
1,993 posts analyzed

Discovering Hidden Barriers to Healthcare Access Through Social Listening

Analyzed 1,993 Reddit posts using LDA/BERTopic and sentiment analysis. Found cost dominates healthcare barriers (34%), triggering immediate care avoidance. Demonstrated BERTopic superiority over LDA for short-text social media data.

PythonNLPLDABERTopicVADERSentiment AnalysisHealthcare
Course project View on GitHub
569 cases · 0 false negatives

Predicting Breast Cancer Malignancy Using Tumor Morphology

Built QDA classifier on 569 cases with 30 morphological features. Achieved 95% accuracy and zero false negatives using PCA for dimensionality reduction. Demonstrated QDA advantage in biomedical datasets with differing class covariance structures.

PythonPCAQDAscikit-learnHealthcare Analytics
Course project View on GitHub
101K+ encounters — built from scratch

Predicting Hospital Readmission Risk for Diabetic Patients

Designed and built a relational database from scratch on 101K+ diabetic patient encounters. Architected star schema, built full ETL pipeline in PostgreSQL/DBeaver, and developed predictive model for 30-day readmission risk.

SQLPostgreSQLDBeaverPythonLogistic RegressionETLStar Schema
Independent build
Ex. 06 — Chain Of Custody

Experience

03 / 08
2024 – Present
Associate Director, CRM/CLM Optimization Lead
Takeda Pharmaceuticals

Owned end-to-end CRM and CLM operating model for multi-billion-dollar U.S. Medical and Commercial portfolio across five therapeutic areas and 500+ MSLs and field leads. Powered SFE targeting, SIP analytics, NBA orchestration, and launch readiness prediction. Built AI agent framework on Databricks for real-time competitive intelligence.

Veeva CRM/CLMSFESIPNBA OrchestrationDatabricksAI StrategyOmnichannel
2023 – 2024
Interim Innovation & Strategic Program Lead — TIDE Rotational Program
Takeda Pharmaceuticals

Selected from competitive applicant pool for high-visibility rotational program focused on digital innovation and enterprise transformation. Led change management across three business units. Delivered $2M in measurable business value through streamlined commercial and operational workflows.

Digital StrategyChange ManagementStakeholder AlignmentExecutive Communication
2021 – 2024
Senior MDM Operations Manager
Takeda Pharmaceuticals

Led U.S. enterprise master data operations governing the golden records SFE, SIP, and NBA systems depended on. Designed master data architecture across CRM, ERP, analytics, Salesforce, and Veeva. Improved data accuracy by 20% and reduced manual processing by 30%. Led 20+ member stewardship team.

MDMReltioInformaticaData GovernanceSQLVeevaSalesforce
2019 – 2021
MDM Operations Manager
Takeda Pharmaceuticals

Managed master data operations ensuring accuracy and reliability of commercial and medical data assets. Built stewardship workflows and quality frameworks that scaled with Takeda's growing commercial portfolio.

MDMData QualityCRM IntegrationGovernance Frameworks
2018 – 2019
Consultant Team Lead
IQVIA

Managed $3M consulting portfolio across pharmaceutical clients. Delivered data ingestion and predictive analytics solutions improving forecasting accuracy by 15%. Led client-facing presentations translating complex analytical findings into actionable commercial strategy.

Pharma Commercial AnalyticsSFECRM OptimizationClient AdvisoryPredictive Analytics
2015 – 2018
Senior Data Governance Analyst / Data Governance Analyst
Trinity Health

Built foundational data governance frameworks across a 25+ hospital integrated delivery network. Established enterprise-wide data quality standards, patient identity management, and HIPAA-compliant data protocols. Partnered with clinical and IT leadership on EHR/EMR data readiness for population health analytics.

Data GovernanceHL7/FHIRHIPAAEHR/EMRInformaticaMDMCollibra
Ex. 07 — Public Testimony

Speaking & Recognition

04 / 08
Upcoming
Informa — Enterprise Data World
Revolutionizing Data Practices: Leveraging Machine Learning for Smarter Data Management
August 2026
Invited
Chief Transformation Officer Exchange USA — Dallas, TX
Invited attendee at sold-out, invite-only executive forum hosted by IQPC/PEX Network. Senior transformation leaders from Amgen, Dell Technologies, Regeneron, Texas Instruments, and others.
April 2026
Speaker
DGIQ Conference — Enterprise Data World, Anaheim CA
Revolutionizing Data Practices: Leveraging Machine Learning for Smarter Data Management + Panel: The Human Side of Data
May 2025
Speaker
DGIQ Conference — Data Governance & Information Quality
How the Need for Better Metrics Changed Our MDM Reputation
June 2023
Board
Advisory board for a cross-sector initiative developing women leaders at the intersection of organizational leadership and AI
Women in Leadership with AI-Driven Engagement Program — University of New Haven · 2025 — Present
Ex. 08 — Filed Briefs

Writing & Insights

05 / 08

I write about healthcare AI, data strategy, and the human side of technology transformation — under the Proofs & Patterns name.

I Was Invited Into a Room of Chief Transformation Officers

Reflections from the Chief Transformation Officer Exchange USA — on personas, AI as Pandora's box, pushing until they pull, and why resistance is not the enemy.

3 min read →

The Market Has Spoken — Issue #1

The first issue of a recurring Proofs & Patterns series exploring what the data says about where the market is heading and what it means for practitioners.

4 min read →

Reflections on My First Semester of Graduate School

Starting graduate school after a significant gap — lessons in growth, resilience, and reinvention.

4 min read →

Navigating Patience and Action: Empowering Women in Decision-Making

Celebrating Women's History Month with reflections on leadership, patience, and the power of action.

2 min read →
View all articles on LinkedIn
Ex. 09 — Recognized Patterns

Skills & Expertise

06 / 08

Pharma Commercial

The language of commercial pharma — lived from the inside
Sales Force Effectiveness (SFE)Strategy, Insights & Planning (SIP)NBA OrchestrationOmnichannel EngagementLaunch Readiness & PredictionCRM/CLM (Veeva/Salesforce)Patient Longitudinal & Claims Data (RWE)

AI & Data Science

Applied ML, NLP, and AI strategy — built in production
PythonSQLRscikit-learnXGBoostDatabricksMLflowNLP (LDA, BERTopic, VADER)Deep LearningTime Series Forecasting

Data Governance & MDM

Enterprise governance built at scale across pharma and health systems
MDM Platforms (Reltio, Informatica)CollibraData Quality FrameworksData Lineage & MetadataBusiness GlossariesFAIR PrinciplesHIPAA Compliance

Cloud & Platforms

Enterprise-scale administration and architecture
AWSDatabricksSalesforceVeeva CRM/CLMSnowflakePostgreSQLMySQLOracleMongoDB

Visualization & Analytics

Executive dashboards and operational reporting
TableauPower BIMatplotlibSeabornExecutive Dashboard DesignKPI Frameworks

Healthcare & Domain

10+ years across pharma, health systems, and life sciences
HL7/FHIREHR/EMR IntegrationPharma Commercial OperationsReal-World Evidence (RWE)Patient Identity ManagementCertified Veeva CRM Administrator
Ex. 10 — Open A Case

Book time

Three different conversations need three different amounts of my calendar. Pick the one that matches what you're actually here for.

Speaking

Bring me in to speak

Conference sessions, panels, and internal talks on data governance, AI strategy, and the human side of transformation.

Check availability →
Advisory

Advisory conversation

A working session on commercial data strategy, MDM, or AI adoption — for teams that want a second set of eyes that's actually done the build.

Book 30 minutes →
Recruiter / Talent

Talk roles

Director-level and above opportunities in commercial AI strategy, data transformation, and pharma commercial operations.

Start a conversation →