Engagement Manager - CPG Domain at Fractal Analytics | GB | Rezi

Engagement Manager - CPG Domain at Fractal Analytics

Engagement Manager - CPG Domain

Fractal Analytics · GB

2 weeks ago

Engagement Manager - CPG Domain

Fractal Analytics · GB

16 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Engagement Manager - CPG Domain role.

Rezi rewrites your resume against Fractal Analytics's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Engagement Manager - CPG Domain posting at Fractal Analytics — free, in seconds.

About the Role

We are looking for an experienced Engagement Lead to lead client projects in RGM for CPG. This role sits within our CPG practice and reports into the RGM Client delivery lead. The role requires engaging, influencing, and inspiring a wide variety of internal stakeholders to drive collaboration and alignment.

Responsibilities

  • Lead technical and business discussions with customers, including KPIs, metrics, data science, data engineering, and domain discussions.
  • Manage customer relationships and provide Point of View (PoV) project management.
  • Conduct user and stakeholder workshops to showcase results and provide an overview of model functionality.
  • Lead a small group of Data Scientists, Analysts, and Developers to streamline data science work with the product.
  • Design solution frameworks and insights presentations.
  • Utilize data wrangling and exploration to extract insights and relationships from data.
  • Maintain, refine, tune, and upgrade the data science engine.
  • Perform descriptive analysis and build visualizations to help customers understand business metrics.
  • Conduct research and prototyping for innovations.
  • Gather data and requirements.
  • Scope and architect solutions.
  • Consult 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, design teams, and RGM/CPG leadership to develop product requirements and user stories.
  • Lead collaboration with Data Engineering teams to understand industrialization needs and ensure smooth transitions from DS development to industrialization.
  • Plan code development/redevelopment and provide direct support to DS developers.
  • Ensure proper code standards are enforced, complete documentation is created, and strong code management through version control.
  • Lead regular code reviews with the data scientist project lead.
  • Ensure a common code base is created for efficient roll-out in new markets with a modular architecture, well-designed data abstraction, high configurability, and high parameterization.

Requirements

  • 12+ years of work experience related to RGM data science and analytics in the CPG domain.
  • Ability to understand Analytics and Machine Learning concepts and apply them to solve problems.
  • Creative thinker with strategic thinking, analytical, and problem-solving skills.
  • Attention to detail, discipline, active listening, outstanding communication, presentation, and leadership skills.
  • Organizational and time management skills.
  • Stakeholder management and expectation management.
  • Ability to design solution frameworks with minimal guidance and lead client discussions.
  • Strong knowledge of machine learning and statistical modeling techniques.
  • Some exposure to cloud technologies such as Azure Databricks.
  • Experience with programming languages such as Python, Spark, or working closely with teams who use these languages.
  • Strong understanding of CPG data sources, algorithms, and software design principles.
  • Highly sensitive to algorithm complexity.

Skills

  • RGM
  • Trade Promo
  • CPG
  • Client management
  • Problem Solving
  • Insight Generation
  • Storyboarding
  • Analytics
  • Machine Learning
  • Python
  • Spark
  • Azure Databricks
  • Data wrangling
  • Data exploration
  • Descriptive analysis
  • Data visualization
  • Statistical modeling
  • Software design principles

Location

  • London

Work Type

  • Full-time

Experience Level

  • 12+ years

About the Company

  • Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise.
  • Fractal is building an ecosystem where human imagination is at the heart of every decision.
  • Fractal has been featured as a Great Place to Work by The Economic Times.
  • Fractal has been recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Equal Opportunity

  • If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!