Senior Lead - Customer Success

Minimum Salary: $140,000.00
Maximum Salary: $146,250.00

ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and that's why here your ideas elevate actions, and here you'll have the freedom to define your own path and pursue cutting-edge work. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. If you dare to think differently, join us, and find a path where your passion can change lives.

• Deep analytics-tech expertise:
  • Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment.
  • Execute statistical and data modelling techniques (e.g. hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc.) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations.
  • Expertise in devising and implementing pragmatic solutions for complex business problems by breaking down into simpler problems with best-in-class industry focused frameworks.
• Communication, collaboration, unstructured problem solving and client management (in a high performing and high intensity team environment):
  • Lead multiple client engagement teams to design and execute solution setup (right data science algorithm, data modelling setup, design success metrics/KPIs and stakeholder management) in sustainable and profitable manner; drive value and client impact; identify new use cases; proactive in approach.
  • Problem solving and Client management: Understand and manage client business priorities, sizes business opportunities, develop product use cases, and enable the use case for the clients in sustainable manner
  • Collaboration: lead the engagement with a cross-functional team to drive success on client engagement objectives. Envisions and deliver holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area.
  • Storyboarding & impact communication: Build & present effective storyboards with solution impact to clients and ZS Leadership
  • Scaling mindset: Provide a structure to client engagement with effective solutions at scale, able to convert solutions delivered to product modules and build automation
  • Team management: Builds and export best practices and learnings to broader team and mentor junior team members on teams
• Thought leadership and executive presence:
  • Synthesize key learnings from client engagements and drive business development
  • Focus on building the presence of the space and thought leadership content around the impact delivered with publications across esteemed platforms (Medium, ZS.Com, journals etc.)

• A master's or bachelor's degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required
• Knowledge of programming - Python (Deep Expertise), Pyspark, SQL. Strong process evaluations and QC skills to debug and update the processes and boost efficiency
• Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment)
• Knowledge of big data/advanced analytics concepts and algorithms (e.g. social listening, recommender systems, predictive modeling, etc.)
• At least 5-6+ years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data & Decision Sciences, Data Engineering, Stakeholder management and building scalable processes.
• Excellent critical thinking, logical reasoning, and problem-solving skills
• Publishes thought leadership content across channels and builds industry focused POVs around projects driven
• High motivation, good work ethic, maturity and personal initiative for leading and managing teams
• Strong oral and written communication skills that enable personal impact with senior-level decision makers.
• Experience of leading a team of at least 5-6 people for 5+ years of work experience
• Should have hands on analytics experience where the candidate has worked on the algorithms/ methodology from scratch and not merely executed existing codes and processes
• Strong attention to detail, with a quality-focused mindset