Data & BI AMS Lead

apartmentAccenture placeMidrand calendar_month 

Role Overview:

The Data & BI AMS Lead will be responsible for overseeing the management and support of data and business intelligence (BI) platforms within a managed services environment. This role involves managing end-to-end service delivery, leading support teams, ensuring SLAs are met, and driving continuous improvement initiatives.

The ideal candidate will have a strong technical background in data and BI technologies, combined with proven leadership and client management skills to support a large-scale AMS (Application Management Services) program.

Key Responsibilities:

  1. AMS Service Delivery Management:
  • Oversee the day-to-day operations of the Data & BI AMS team, ensuring the effective delivery of services in alignment with defined SLAs and client expectations.
  • Manage the end-to-end incident, problem, and change management processes, ensuring timely resolution and communication.
  • Act as the primary point of contact for clients and stakeholders, managing escalations and ensuring customer satisfaction.
  1. Team Leadership and Development:
  • Lead and mentor a team of BI developers, data engineers, analysts, and support staff, providing guidance and support to achieve project and service delivery goals.
  • Foster a collaborative team environment, encouraging knowledge sharing, skill development, and continuous learning.
  1. Technical Oversight and Best Practices:
  • Provide technical oversight and guidance in data architecture, ETL processes, data integration, data warehousing, and business intelligence reporting.
  • Ensure adherence to best practices in data management, BI development, and IT service management (ITIL).
  1. Service Improvement & Optimization:
  • Identify opportunities to optimize service delivery, improve operational efficiency, and enhance the value provided to the client.
  • Drive continuous improvement initiatives, leveraging automation, process re-engineering, and innovation in data and analytics services.
  1. Stakeholder Engagement & Communication:
  • Build strong relationships with client stakeholders, understanding their business needs, and ensuring alignment with service delivery.
  • Communicate service performance, improvements, and strategic initiatives to senior leadership and clients.
  1. Financial & Contract Management:
  • Support financial management, including tracking budgets, forecasting, and managing service-related costs.
  • Collaborate with sales and account management teams on renewals, extensions, and identifying new opportunities for value-added services.

Qualifications:

Educational Background:

  • Bachelor's degree in Computer Science, Information Technology, Data Science, or related field.

Professional Experience:

  • Minimum of 8-10 years of experience in data and BI technology management, with at least 3-5 years in an AMS or support services environment.
  • Proven experience managing service delivery for data and BI solutions, such as data warehouses, ETL pipelines, BI platforms
  • Demonstrated expertise in IT service management frameworks (ITIL) and agile methodologies.

Technical Skills:

  • Proficiency in data platforms, SQL, cloud-based data services ( Azure Preferred), and BI tools(MS PBI Preferred).
  • Strong understanding of data warehousing concepts, ETL processes, data integration, and data governance.

Soft Skills:

  • Strong leadership and people management skills, with the ability to inspire and lead diverse teams.
  • Excellent problem-solving abilities, with a proactive approach to addressing challenges.
  • Effective communication and interpersonal skills, with the ability to manage client relationships and expectations.

Key Competencies:

  • Strategic thinking and ability to align service delivery with business objectives.
  • Strong client and stakeholder management capabilities.
  • Analytical mindset with a focus on data-driven decision-making.
  • Adaptability and resilience in a fast-paced, complex service environment.

Career Growth Opportunities:

  • Opportunities to take on larger service portfolios or transition to leadership roles within the broader Data & Analytics or AMS domains.
  • Engagement in strategic initiatives and projects with the potential for regional or global leadership exposure.
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