At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want in life and map the path to get there. We clear the way by pairing exceptional Philippine-based EAs with our driven clients and ensuring both receive ongoing support throughout the journey. The result is 10x more leverage, more time, and a greater impact on our clients' work and lives.
With a waitlist growing by the day, Athena has already showcased compelling demand. As part of the Athena team, you will have an exponential opportunity, empowering the fiercely ambitious to reach the most audacious goals.
Role Overview:
The Project Manager for Data Engineering and Analytics is responsible for planning, executing, and overseeing data-centric projects that support Athena’s strategic objectives. This role ensures timely and quality delivery of data engineering and analytics initiatives by coordinating cross-functional teams, managing resources, and implementing best practices for data infrastructure, analysis, and reporting. The Project Manager plays a critical role in driving data-driven decision-making and enhancing Athena’s capabilities in analytics and business intelligence.
Duties & Responsibilities:
DUTIES:
Project Planning and Coordination: Develop comprehensive project plans that outline scope, objectives, timelines, resources, and deliverables for data engineering and analytics initiatives.
Stakeholder Management: Collaborate with business leaders, data engineers, analysts, and other stakeholders to ensure alignment of project objectives with organizational goals.
Resource Allocation: Manage project resources, including personnel, technology, and budget, to ensure efficient execution and high-quality outcomes
Risk Management: Identify, assess, and mitigate risks throughout the project lifecycle to ensure successful completion of projects.
Project Documentation: Maintain accurate and up-to-date documentation of project plans, progress reports, metrics, and lessons learned.
Process Optimization: Continuously improve project management methodologies and frameworks to enhance efficiency and quality of delivery.
RESPONSIBILITIES:
End-to-End Project Management: Lead the planning, execution, monitoring, and closure of data engineering and analytics projects.
Data Infrastructure and Pipeline Oversight: Coordinate efforts to design, build, and maintain scalable data pipelines and architectures.
Analytics and Reporting: Ensure analytics solutions are effectively implemented to provide actionable insights that drive business decisions.
Performance Monitoring: Track project performance against milestones, deliverables, and key performance indicators (KPIs).
Continuous Improvement: Integrate feedback and lessons learned into future project planning to enhance processes and results.
Compliance and Standards: Ensure adherence to data governance policies, security standards, and industry best practices.
Key Stakeholders
INTERNAL STAKEHOLDERS
Director, Data Engineering and Analytics: Provides strategic direction and oversight for data initiatives.
Data Engineers and Analysts: Collaborate on building data pipelines, analytics models, and reporting solutions.
Business Leaders: Ensure alignment of data projects with broader organizational objectives.
IT and Security Teams: Ensure adherence to data governance, privacy, and security standards.
EXTERNAL STAKEHOLDERS:
Technology Vendors: Provide tools and platforms for data engineering and analytics solutions.
Consultants and Industry Experts: Offer guidance on best practices and emerging trends in data management and analytics.
Skills:
Project Management Expertise: Proficient in project management methodologies such as Agile, Scrum, and Waterfall,
Technical Knowledge: Familiarity with data engineering concepts, analytics frameworks, and cloud-based platforms (e.g., AWS, Azure, Google Cloud).
Data Literacy: Strong understanding of data pipelines, ETL processes, data storage solutions, and data governance principles.
Analytical and Critical Thinking: Ability to interpret complex data sets and provide strategic insights.
Communication and Collaboration: Excellent interpersonal skills for coordinating cross-functional teams and conveying technical concepts to non-technical stakeholders.
Problem-Solving Skills: Skilled in troubleshooting issues, identifying solutions, and making data-driven decisions.
Time Management: Ability to manage multiple projects simultaneously while ensuring timely delivery.
Competencies:
Leadership: Demonstrates the ability to guide teams through complex data projects, ensuring alignment with strategic objectives.
Adaptability and Flexibility: Thrives in a dynamic environment, adjusting project plans as needed to accommodate changing requirements.
Attention to Detail: Ensures accuracy and quality in data engineering and analytics processes.
Strategic Vision: Aligns data initiatives with business goals to support growth and innovation.
Collaboration: Works effectively with technical and non-technical stakeholders to achieve project success.
Relevant Experience Required:
Minimum of 5 years of experience in project management, preferably within data engineering, analytics, or business intelligence environments.
Proven track record of successfully managing complex data projects from inception to completion.
Experience working with data architecture, ETL processes, and analytics tools.
Familiarity with cloud platforms and modern data technologies (e.g., BigQuery, Snowflake, Apache Spark).
Educational and Certification Requirements:
Bachelor’s degree in Computer Science, Data Science, Information Technology, Business Administration, or a related field.
Professional certifications in Project Management (e.g., PMP, PRINCE2, CSM) are preferred.
Direct Reports and Span of Control:
This is an individual contributor role that may be supported by project specialists depending on project scope and complexity.
Equal Opportunity Employer: At Athena, we are deeply committed to fostering an inclusive and diverse workplace environment. We believe that diversity enriches our organization, enhances creativity, and drives innovation. We are dedicated to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. We strive to create an environment where everyone feels valued, respected, and empowered to contribute their unique perspectives and talents. We actively promote diversity and inclusion through our hiring practices, employee development initiatives, and company culture, recognizing that it is essential for our success as a company and as a community.