Posted:10 hours ago|
Platform:
Remote
Full Time
Role: Senior Delivery Lead Location: India – Mumbai | Pune Job Summary The Senior Delivery Lead is a pivotal role responsible for driving client satisfaction, revenue growth, and operational excellence. This individual will serve as a trusted advisor to the client, providing strategic guidance while overseeing the successful delivery of complex data and analytics projects. Key Responsibilities Client Relationship Management: Build and maintain strong, strategic partnerships with clients. Proactively identify client needs, develop tailored solutions, and exceed client expectations. Serve as the primary point of contact for client escalations and issues. Consulting: Provide expert guidance and solutions to address complex business challenges through data-driven insights. Develop and execute strategic roadmaps aligned with client objectives. Client Context Alignment: Capture and effectively communicate client context across eClerx teams to ensure alignment between client needs and eClerx objectives. Solution Design: Lead the conceptualization and development of data-driven solutions in areas such as marketing, customer service, and supply chain. Translate business requirements into actionable solution blueprints, considering data availability, technical feasibility, and business impact. Delivery Oversight: Lead delivery teams to ensure successful project execution, quality, and adherence to timelines. Business Development: Partner with sales and account team to drive revenue growth, develop and delvier compelling proposals. Expand the client base and increase account penetration. Cross-Functional Collaboration: Foster strong collaboration with cross-functional teams to deliver comprehensive solutions. Team Leadership: Provide strategic leadership to a hybrid team of data scientists and analysts. Hire, develop, and retain top talent. Ensure team alignment with organizational goals. Qualifications and Experience Advanced degree (MBA, MS in Data Science, Statistics, or related field) with 10+ years of relevant experience Excellent communication and presentation skills with the ability to articulate complex technical concepts to both technical and non-technical audiences. Demonstrated ability to build and maintain strong relationships at the executive level within the client organization. Strong problem-solving and analytical skills to address complex business challenges. Deep expertise in data science, machine learning, and statistical modeling techniques applied to marketing, customer service, and supply chain functions. Strong understanding of cloud platforms (AWS, GCP, Azure) and data engineering tools (e.g., Databricks, Snowflake). Experience managing and collaborating with remote teams. Proven leadership and people management skills with a focus on developing and retaining talent. Proven negotiation skills to build consensus and drive successful outcomes. Demonstrated commercial acumen and ability to estimate project costs and develop pricing models. Proven experience in managing diverse client needs and delivering complex analytics solutions across various industries, with a preference for experience in the technology sector. Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives. Proven ability to extract meaningful insights from complex data sets and communicate findings effectively to both technical and non-technical audiences. Proven experience in applying agile methodologies (such as Scrum) and proficiency in project management tools (e.g., Jira, Asana, GitHub). Proficiency in SQL, Python, and R programming languages. Experience with data visualization tools such as Power BI and Tableau . Proficiency in applying problem-solving frameworks (such as root cause analysis, Six Sigma, or Design Thinking) to address complex business challenges. Show more Show less
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