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Engagement Manager - client projects in RGM for CPG
London
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
Job Summary:
We are looking for an experienced Engagement Lead who will lead client projects in RGM for CPG.
This role sits within our CPG practice, and reports into the RGM Client delivery lead at Fractal. We continue to deliver services in RGM to our clients, and this platform is to accelerate the setup & scale of that journey. This role must engage, influence and inspire wide variety of stakeholders internally from AI, Engineering & Design in order to drive collaboration and alignment.
Knowledge/Skills
- Lead technical and business discussions with the customers (mix of KPIs, metrics, data science, data engineering, domain discussions Customer management and PoV project management.
- Hold user and stakeholder workshops to show-case results, give overview of model functionality
- Lead a small group of Data scientists & analysts developers in collaborate / streamline data science work with product
- Design solution frameworks, insights presentations
- Use data wrangling and exploration to extract insights and relationships from the data
- Maintain, refine/tune and upgrade the data science engine
- Perform descriptive analysis and build visualizations to help customer understand what drives the business metrics.
- Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems.
- Collaborate and coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes. Work with engineering and design teams, RGM/CPG leadership to develop product requirements and user stories
- Leading the collaboration with Data engineering teams to understand the need for industrialization, ensure smooth transition from DS development to industrialization by providing sufficient DS support.
- Code development/redevelopment planning, provide direct support to DS developers in the execution.
- Ensure proper code standard are enforced, complete documentation is created and strong code management through version control. Leading regular code review together with the data scientist project lead.
- Ensure a common code base is created for efficient roll-out in new market with highly modular architecture, well designed data abstraction, high configurability and high level of parameterization
Key Skills/Competencies/Education:
- 12+ years of work experience related to RGM data science, analytics in CPG domain.
- Ability to understand Analytics and Machine Learning concepts and apply them to solve problems
- Creative thinker, Strategic thinking, Analytical and problem-solving skills
- Attention to details, Discipline, Active listening, Outstanding communication, presentation and leadership skills
- Organizational and time management skills. Management of stakeholders and their expectations
- Ability to design solution frameworks with minimal guidance and lead client discussions
- Strong knowledge of machine learning and statistical modeling techniques, with some exposure to cloud technologies such as Azure Databricks
- Experience with programming languages such as Python, Spark; or working closely teams who work with these programming languages
- Strong understanding of CPG data sources, algorithms, and software design principles, highly sensitive to algorithm complexity
Required Skills:
RGM, Trade Promo, CPG, Client management, Problem Solving, Insight Generation & Storyboarding
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Skills Required
- 12+ years of experience related to RGM data science or analytics in the CPG domain
- Understanding of analytics and machine learning concepts and their practical application
- Experience designing solution frameworks with minimal guidance and leading client discussions
- Strong knowledge of machine learning and statistical modeling techniques
- Exposure to cloud technologies such as Azure Databricks
- Experience with Python and Spark, or experience working closely with teams using these technologies
- Strong understanding of CPG data sources, algorithms, and software design principles
- Experience with RGM, trade promotion, CPG, client management, problem solving, insight generation, and storyboarding
- Strong communication, presentation, leadership, stakeholder management, analytical, and problem-solving skills
Fractal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.
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Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
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Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
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Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.
Fractal Insights
What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.
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