Technical Delivery Manager (Cloud/Data Engineering/AI)

We are looking for an experienced Technical Delivery Manager with Cloud Data and Analytics to lead our data and analytics initiatives. The ideal candidate will oversee the design, development, and implementation of data strategies, ensuring our data pipelines and infrastructure are optimized for performance and aligned with business objectives. You will collaborate with cross-functional teams to deliver actionable insights and drive data-driven decision-making across the organization. You will lead a team of data engineers working on various projects and you will be expected to ensure the design and development quality of the work produced by the data engineers is of high quality and performance, conforms to standards and best practices, and that the work is performed in a timely fashion.

Role & responsibilities

• Lead the development and execution of the data and analytics initiatives, ensuring alignment with business goals and technical requirements.
• Manage data architecture, Data Lakes/Data Lakehouses/Data Warehouses, leveraging cloud platforms like AWS to ensure scalability and reliability.
• Oversee the design and implementation of data pipelines, ETL processes, and data integration solutions to facilitate data integration, data lakes and analytics.
• Collaborate with stakeholders to identify reporting and analytics needs and develop solutions that provide insights into business performance and opportunities.
• Lead a team of data engineers, analysts, and scientists, providing mentorship, guidance, and support in their work and professional development.
• Lead and validate the work output from the data engineers to ensure high quality work which conforms to standards and best practices.
• Deliver the work assigned to the team within timelines in such a way that a high-quality solution is delivered within time.
• Work with the leadership team and as required present the end-to-end architecture solutions, implementation proposals and work progress updates to leadership and client as required.
• Experience with developing Data Lake House solutions, Data Warehouses on AWS is required.
• Establish and enforce data governance policies and best practices to ensure data quality, security, and compliance with regulations.
• Monitor and optimize data performance, ensuring timely access to accurate data for analysis and reporting.
• Stay current with industry trends and emerging technologies in cloud data and analytics, recommending and implementing improvements as needed.
• Build strong partnerships with IT, application development, and business teams to promote a data-driven culture within the organization.

Preferred candidate profile

• Bachelors degree in computer science, Information Technology, Data Science, or a related field. A Masters degree is preferred.
• Overall, of 16+ years in IT industry and 8+ years of experience in data integration and management, analytics, or a related field, with 3+ years in a managerial role.
• Strong experience with cloud data technologies and platforms. AWS experience is required.
• Strong experience in data modeling, Data Lakehouse architecture implementation, and Data Integration.
• Experience with developing Data Lake House solutions, Data Warehouses on AWS is required.
• Experience with AWS analytics platforms like S3, Delta Lake, Redshift is required.
• Experience with Glue, Spark, Python, Pyspark, EMR is required.
• Experience with BI Tools like ThoughtSpot, Tableau, Qlik is required
• Experience with programming languages (e.g., SQL, Python, Java) is required.
• Experience with developing AI/ML platforms is a strong plus.
• Experience with AWS Sagemaker is a strong plus.
• Strong experience with building high performance end to end data pipelines for a Data Lake/Data Lakehouse is critical.
• Strong experience with building analytics solutions using BI Tools (ThoughtSpot, Tableau, Qlik) is critical.
• Excellent analytical and problem-solving skills, with the ability to think strategically and provide actionable insights.
• Strong leadership skills, with the ability to foster collaboration and drive results across diverse teams.

Preferred Qualifications:

• Relevant certifications in cloud platforms (e.g., AWS Certified Solutions Architect, AWS Certified data engineer, Azure Data Engineer, ThoughtSpot certifications) or data analytics.
• Experience in managing data initiatives in financial industry such is a plus
• Familiarity with agile methodologies and project management practices.