Job Description
Job Description
Company Description
Redica Systems is a data and analytics SaaS platform that helps regulated industries improve their quality and stay on top of evolving regulations. We are shaping the future of predictive quality with our pioneering work in AI workflows and the development of an exclusive intelligence layer for quality and regulatory data. Our purpose-built processes transform one of the industry’s most complete data sets—aggregated from hundreds of health agencies and unique Freedom of Information Act (FOIA) sourcing—into meaningful answers and insights that reduce regulatory and compliance risk.
Founded in 2010, Redica Systems serves over 200 customers in the Pharma, BioPharma, MedTech, and Food and Cosmetics industries, including 19 of the top 20 Pharma companies and 9 of the 10 top MedTech companies. The FDAzilla store is a wholly-owned subsidiary of Redica Systems. Redica Systems’ headquarters are in Pleasanton, CA.
More information is available at redica.com.
Job Description
Redica's forward-deployed projects sit at the leading edge of our development process, where we collaborate with customers to co-create capabilities that accelerate go-to-market and shape our product roadmap. We're seeking an experienced Engagement Manager to lead these complex client engagements in the life sciences sector, focused on supply chain risk analytics and other high-impact projects.
This role is ideal for a consulting leader who combines a highly analytical mindset with drive and creativity, bringing manager-level experience at a top-tier consulting firm (e.g., McKinsey, BCG, Bain, Deloitte, Accenture, etc.) and a winning track record of delivering results.
Your expertise in technical project delivery will play a pivotal role in driving measurable value and transformation for our customers. You will lead a blended team of senior and junior analysts and collaborate directly with project leadership and client experts. Projects will involve combining public and private data, building predictive risk models, and developing AI workflows to generate actionable insights.
Core Responsibilities
Client Strategy & Relationship Management
- Serve as the primary point of contact for senior client stakeholders, working alongside our top executives
- Communicate clearly and effectively across perspectives and seniority levels
- Develop and manage against an engagement roadmap aligned to client priorities and business outcomes
- Collaborate with global teams using modern digital and productivity tools
Strong Analytics Capabilities
Exercise sound judgment on greenfield projects, focusing on what matters most (80 / 20)Partner with Redica industry experts and product teams to design first-draft data models for future productizationProject Leadership & Delivery
Create and execute complex project plans with clear goals and expected outcomesStructure and organize ambiguous problems, tasks, and information, and be able to act independentlyOversee project scoping, resource planning, timelines, and budget adherenceDeliver results efficiently in a complex, largely autonomous environmentLead cross-functional internal and client teams through project cyclesPredictive Analytics Expertise
Drive diagnostic assessments and solution design using operational frameworks and diverse data sources (public and private)Leverage predictive modeling and statistical techniques to deliver actionable insights, collaborating with subject matter experts to align outcomes with domain contextInterpret and communicate analytical insights in a structured way to guide strategic business decisionsTechnical Enablement and Scaling
Partner with Product and Engineering leaders to scale data acquisition and analytics across global organizationsBring expertise in data architectures, software development, and IT operations to ensure scalable, reliable deploymentsBridge business needs and technical execution, guiding clients on best practices in data governance, cloud infrastructure, and enterprise rolloutsAbout you
Business Insight – Understand industry dynamics and client priorities, translating them into strategies and solutions that deliver measurable business outcomesManages Complexity – Navigate ambiguity and structure complex problems into clear, actionable plansDecision Quality – Make timely, high-quality decisions grounded in data, analysis, and sound judgmentCollaboration & Influence – Build strong relationships with clients and internal teams, fostering trust and driving alignment across diverse stakeholdersTech Savvy – Leverage data, analytics, and emerging technologies (AI / ML, predictive modeling, cloud solutions) to create innovative client solutionsEngaged – You share our values and possess the essential competencies needed to thrive at Redica, as outlined here : https : / / redica.com / about -us / careers /Qualifications
Top-tier consulting experience (Manager level or above) from firms such as McKinsey, BCG, Bain, Deloitte, PwC, EY, or KPMG5–8+ years of experience in management consulting, operations strategy, or related fieldsDemonstrated ability to lead client-facing projects and cross-functional teamsStrong background in supply chain strategy, planning, logistics, or procurementExperience with data analytics tools and platforms (e.g., Excel modeling, SQL, Tableau, Power BI, Python)Bachelor’s degree required; MBA or master’s in supply chain, engineering, or analytics preferredBonus Points
Experience implementing risk analytics solutionsFamiliarity with AI / ML applications in operations or demand / risk forecastingStrong executive presence and ability to influence at senior levelsComfortable working in high-growth, fast-paced environmentsAdditional Information
Top pharmaceutical companies, food manufacturers, medtech companies, and service firms from around the globe rely on Redica Systems to mine and process government inspection, enforcement, and registration data. This enables them to quantify risk signals from their suppliers, identify market opportunities, benchmark against peers, and prepare for the latest inspection trends.
Our data and analytics have been cited by major media outlets including MSNBC, The Wall Street Journal (WSJ), and The Boston Globe.