D&A Solution Delivery, Architecture
4 weeks ago
As the Data Science & Analytics Engagement Lead, you will:Lead a team of data architects, data engineers, consultants, and support personnel.
Foster a collaborative and innovative team environment.
Mentor and develop team members, ensuring continuous learning and professional growth.
Oversee the development and delivery of new analytic solutions based on business requirements.
Ensure projects are completed on time, within scope, and within budget.
Collaborate with business stakeholders to understand their needs and translate them into technical requirements.
Architect new data platforms and technology solutions to meet evolving business needs.
Maintain and optimize existing data platforms, ensuring scalability, reliability, and performance.
Implement best practices for data architecture and data management.
Ensure ongoing support for all solutions and platforms developed by the team.
Implement robust monitoring, maintenance, and support processes.
Troubleshoot and resolve any issues that arise with data solutions and platforms.
Develop and execute a strategic roadmap for data and analytics solution delivery, architecture, and support.
Stay abreast of industry trends and emerging technologies to drive innovation.
Align data and analytics strategies with overall business goals and objectives.
Act as a liaison between the data and analytics team and business stakeholders.
Communicate complex technical concepts to non-technical stakeholders.
Advocate for data-driven decision-making across the organization.
Provide technical leadership in Power BI,SAP,
and Azure Synapse.
Ensure the team leverages the full capabilities of these tools to deliver high-quality solutions.
Continuously evaluate and implement new tools and technologies to enhance the data and analytics capabilities.
Our expectations:15+ years of professional experience within analytics field
Previous experience in leading a team of highly-skilled D&A professionals
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field
Excellent command of Azure Synapse, SAP BO/BW/SAC, Data Factory, SQL DW, Databricks, Data Factory, Power BI or similar
Good grasp of Data Science/BI/DW/ETL tools
Effective collaboration skills with stakeholders across the whole organizations, from different business areas and geographies
Ability to thirve in a start-up environment, proposing solutions, setting up processes
Perfect command of English
Work Timing & LocationOffice – Pune (Pimple Saudagar), India. Current office presence policy – 4 days/week
Typical Working Hours – any 9 hrs between 10:30 AM and 9:30 PM IST
We offer:Opportunity to shape the D&A function within a global company
Fast-paced, challenging environment with great professional growth opportunities
Collaborative culture with strong quality and innovation focus
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