Job
Description
Role Overview: As a Senior Manager for data science, data modeling, and Analytics, you will lead a team of data scientists and analysts while actively contributing to the development and implementation of advanced analytics solutions. This role requires a blend of strategic leadership and hands-on technical expertise to drive data-driven decision-making across the organization. Key Responsibilities: - Design, develop, and deploy advanced machine learning models and statistical analyses to solve complex business problems. - Utilize programming languages such as Python, R, and SQL to manipulate data and build predictive models. - Understand end-to-end data pipelines, including data collection, cleaning, transformation, and visualization. - Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. - Provide thought leadership on solutions and metrics based on the understanding of the nature of business requirements. Team Leadership & Development: - Lead, mentor, and manage a team of data scientists and analysts, fostering a collaborative and innovative environment. - Provide guidance on career development, performance evaluations, and skill enhancement. - Promote continuous learning and adoption of best practices in data science methodologies. - Engage and manage a hierarchical team while fostering a culture of collaboration. Strategic Planning & Execution: - Collaborate with senior leadership to define the data science strategy aligned with business objectives. - Identify and prioritize high-impact analytics projects that drive business value. - Ensure the timely delivery of analytics solutions, balancing quality, scope, and resource constraints. Client Engagement & Stakeholder Management: - Serve as the primary point of contact for clients, understanding their business challenges and translating them into data science solutions. - Lead client presentations, workshops, and discussions to communicate complex analytical concepts in an accessible manner. - Develop and maintain strong relationships with key client stakeholders, ensuring satisfaction and identifying opportunities for further collaboration. - Manage client expectations, timelines, and deliverables, ensuring alignment with business objectives. - Develop and deliver regular reports and dashboards to senior management, market stakeholders, and clients highlighting key insights and performance metrics. - Act as a liaison between technical teams and business units to align analytics initiatives with organizational goals. Cross-Functional Collaboration: - Work closely with cross-capability teams such as Business Intelligence, Market Analytics, Data Engineering to integrate analytics solutions into business processes. - Translate complex data insights into actionable recommendations for non-technical stakeholders. - Facilitate workshops and presentations to promote data-driven conversations across the organization. - Closely work with support functions to provide timely updates to leadership on operational metrics. Governance & Compliance: - Ensure adherence to data governance policies, including data privacy regulations (e.g., GDPR, PDPA). - Implement best practices for data quality, security, and ethical use of analytics. - Stay informed about industry trends and regulatory changes impacting data analytics. Qualifications: - Education: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. - Experience: 12+ years of experience in advanced analytics, data science, data modeling, machine learning, Generative AI, or a related field with 5+ years in a leadership capacity. - Proven track record of managing and delivering complex analytics projects. - Familiarity with the BFSI/Hi Tech/Retail/Healthcare industry and experience with product, transaction, and customer-level data. - Experience with media data will be advantageous. Technical Skills: - Proficiency in programming languages like Python, R, or SQL. - Experience with data visualization tools (e.g., Tableau, Power BI). - Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP, Azure). - Knowledge of machine learning frameworks and libraries. Soft Skills: - Strong analytical and problem-solving abilities. - Excellent communication and interpersonal skills. - Ability to influence and drive change within the organization. - Strategic thinker with a focus on delivering business outcomes. Additional Company Details: The job is located in Bengaluru under the brand Merkle on a full-time permanent contract.,
