Redicas 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. Were 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 productization
Project Leadership & Delivery
- Create and execute complex project plans with clear goals and expected outcomes
- Structure and organize ambiguous problems tasks and information and be able to act independently
- Oversee project scoping resource planning timelines and budget adherence
- Deliver results efficiently in a complex largely autonomous environment
- Lead cross-functional internal and client teams through project cycles
Predictive 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 context
- Interpret and communicate analytical insights in a structured way to guide strategic business decisions
Technical Enablement and Scaling
- Partner with Product and Engineering leaders to scale data acquisition and analytics across global organizations
- Bring expertise in data architectures software development and IT operations to ensure scalable reliable deployments
- Bridge business needs and technical execution guiding clients on best practices in data governance cloud infrastructure and enterprise rollouts
About you
- Business Insight Understand industry dynamics and client priorities translating them into strategies and solutions that deliver measurable business outcomes
- Manages Complexity Navigate ambiguity and structure complex problems into clear actionable plans
- Decision Quality Make timely high-quality decisions grounded in data analysis and sound judgment
- Collaboration & Influence Build strong relationships with clients and internal teams fostering trust and driving alignment across diverse stakeholders
- Tech Savvy Leverage data analytics and emerging technologies (AI/ML predictive modeling cloud solutions) to create innovative client solutions
- Engaged You share our values and possess the essential competencies needed to thrive at Redica as outlined here: :
- Top-tier consulting experience (Manager level or above) from firms such as McKinsey BCG Bain Deloitte PwC EY or KPMG
- 58 years of experience in management consulting operations strategy or related fields
- Demonstrated ability to lead client-facing projects and cross-functional teams
- Strong background in supply chain strategy planning logistics or procurement
- Experience with data analytics tools and platforms (e.g. Excel modeling SQL Tableau Power BI Python)
- Bachelors degree required; MBA or masters in supply chain engineering or analytics preferred
Bonus Points
- Experience implementing risk analytics solutions
- Familiarity with AI/ML applications in operations or demand/risk forecasting
- Strong executive presence and ability to influence at senior levels
- Comfortable working in high-growth fast-paced environments
Additional 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.
Remote Work :
Yes
Employment Type :
Full-time