Senior Manager - Power Platform

Position Overview:

As the leader of the Visual Analytics, you will play a crucial role in leading technical efforts, architecting solutions, and developing applications within the Microsoft Power Platform ecosystem. Your deep expertise in Power Platform architecture, software development, test-driven development, performance optimization, deployment, and statistical analysis will chip in to the success of our projects. The ideal candidate should possess a solid foundation in Microsoft Power Platform technologies, exhibit leadership qualities, and hold relevant Microsoft certifications.

Responsibilities:

- Lead and manage a team of visual analytics developers and data analysts, providing technical leadership, guidance, and mentorship to ensure the successful delivery of analytics solutions.

- Own the technical aspects of Power Platform projects, providing guidance and direction to the development team.

- Architect end-to-end solutions within the Power Platform ecosystem, considering scalability, security, and standard methodologies.

- Design, develop, and implement applications, workflows, and automation using Power Apps, Power Automate, and Power BI.

- Apply test-driven development principles to ensure high-quality and robust solutions in the Power Platform environment.

- Collaborate closely with multi-functional teams to gather requirements, understand business needs, and translate them into effective technical solutions.

- Perform performance optimization, monitoring, and fix of Power Platform applications to ensure smooth and efficient functioning.

- Manage deployment processes for Power Platform solutions, including version control, release management, and environment setup with IT teams.

- Apply statistical analysis and data modelling to derive insights from Power BI reports and dashboards.

- Stay up-to-date with the latest developments in Power Platform and related technologies to provide innovative solutions.

Qualifications:

- Bachelor's degree in computer science, Information Technology, or related field (Master's preferred).

- Certifications:

- Microsoft Certified: Power Platform Fundamentals

- Microsoft Certified: Power BI Data Analyst Associate

- Shown experience as a technical lead or architect within the Microsoft Power Platform ecosystem.

- Strong expertise in Power Apps, Power Automate, Power BI, and Power Platform connectors.

- In-depth knowledge of software development practices within the Power Platform environment.

- Proficiency in test-driven development methodologies and experience in applying them to Power Platform solutions.

- Demonstrable ability to optimize performance and solve issues within Power Platform applications.

- Hands-on experience with deployment strategies and tools for Power Platform solutions.

- Proficiency in statistical analysis and data modelling, particularly within Power BI.

- Microsoft certifications such as Power Platform App Maker, Power Platform Developer, Power Platform Solution Architect, or similar.

- Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.

- Good communication skills, both written and verbal, with the ability to convey sophisticated technical concepts to non-technical collaborators.

Desirable:

- Certifications: Relevant Certifications: Possessing the following certifications would be considered desirable for this role:

- Microsoft Certified: Power Platform Functional Consultant Associate

- Microsoft Certified: Power Platform App Maker Associate

- Microsoft Certified: Power Platform Developer Associate

- Microsoft Certified: Power Platform Solution Architect Authority

- Strategic Planning: Collaborate with senior management to define the long-term analytics roadmap and strategy, aligning it with the organization's business objectives.

- Multi-functional Collaboration: Champion collaboration between different teams, such as data science, engineering, and business intelligence, to drive alignment and enhance the impact of analytics initiatives.

- Thought Leadership: Stay informed about industry trends, emerging technologies, and standard processes in analytics and data engineering. Act as a leader with vision within the organization by sharing knowledge and promoting innovation.

- Performance Metrics: Define and supervise key performance indicators (important metrics) to measure the effectiveness and impact of analytics solutions. Present regular reports and insights to senior management and team members.

- Continuous Improvement: Find opportunities for process improvement, automation, and optimization within the analytics backend solutions team and drive initiatives to enhance efficiency and effectiveness.