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Key Responsibilities:
Project Management: Lead and manage multiple data and AI projects from inception to completion, ensuring they are delivered on time, within scope, and within budget.

Stakeholder Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to define project goals, requirements, and deliverables.

Data Analysis and Visualization: Utilize Tableau and Power BI to create interactive dashboards and reports that provide actionable insights to stakeholders.

Risk Management: Identify potential risks and develop mitigation strategies to ensure project success.

Team Leadership: Mentor and guide team members, fostering a collaborative and innovative work environment.

Strategic Planning: Setting program objectives, defining project scopes, and aligning them with organizational goals.

Communication: Clear and effective communication with stakeholders, team members, and executives.

Risk Management: Identifying potential risks and developing mitigation strategies.

Problem-Solving: Analyzing issues and finding effective solutions quickly.

Organizational Skills: Keeping track of multiple tasks, deadlines, and project details.

Time Management: Prioritizing tasks and managing time efficiently to meet deadlines.

Financial Acumen: Budgeting, forecasting, and managing financial resources.

Budget Management: Planning and managing project budgets to ensure financial resources are used effectively.

Analytical Skills: Interpreting complex data and deriving actionable insights.

Stakeholder Management: Building and maintaining relationships with stakeholders.

Negotiation: Working with stakeholders to reach agreements and resolve conflicts.

Technical Proficiency: Familiarity with project management tools and software (e.g., MS Project, JIRA).

Adaptability: Being flexible and able to adjust plans as project requirements change.

Technical Skills: Proficiency in Tableau and Power BI for data visualization and reporting.

Experience with other data visualization tools and programming languages (e.g., Python, R).

Knowledge of machine learning algorithms and AI frameworks.

Familiarity with cloud platforms (e.g., AWS, Azure) and big data technologies.

Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders.

Leadership Skills: Proven ability to lead and manage teams, with a track record of successful project delivery.

Presentation Skills: Effectively presenting project updates and outcomes to stakeholders and executives.