Project Manager - Reports & Delivery (10-12 yrs)

Job Description :

Key Responsibilities :

Project Leadership :

- Lead and manage end-to-end delivery of data science and data engineering projects, including scope definition, planning, execution, and monitoring.

- Ensure timely and successful delivery of data-driven solutions that meet client expectations.

Client Relationship Management :

- Serve as the key point of contact for clients, understanding their business challenges and data needs.

- Translate client requirements into actionable insights and project deliverables.

Team Coordination :

- Work closely with data scientists, data engineers, business analysts, and other stakeholders to ensure smooth collaboration across technical and non-technical teams.

- Facilitate communication and ensure all teams are aligned on project goals and timelines.

Solution Design and Strategy :

- Collaborate with technical experts to design data science and engineering solutions that address the business problems at hand.

- Ensure the solutions are scalable, practical, and aligned with the client's goals.

Analytics Translation :

- Act as a liaison between technical teams and business stakeholders, translating complex data science and engineering concepts into understandable terms for non-technical audiences.

- Provide clear, actionable insights to the client.

Stakeholder Management :

- Maintain strong relationships with key stakeholders, including senior leadership, business teams, and external vendors.

- Keep stakeholders informed of project progress, risks, and achievements.

Risk Management :

- Identify potential risks or roadblocks early in the project lifecycle and proactively address them.

- Ensure that projects stay within scope, budget, and timeline.

Quality Assurance :

- Ensure the integrity, accuracy, and completeness of data-driven solutions delivered to clients.

- Monitor project progress and quality metrics to ensure high standards are maintained.

Business Development :

- Participate in scoping and proposal writing for new data science and engineering projects.

Continuous Improvement :

- Stay up-to-date with industry trends in data science and engineering, and share insights with the team to drive innovation and continuous improvement in project execution.

Required Skills and Qualifications :

- 10+ years of experience in project management, specifically in data analytics or related fields.

- Proven track record of successfully delivering data analytics projects.

- Strong understanding of project management methodologies and tools.

- Excellent stakeholder management skills, with the ability to build and maintain strong relationships.

- Proficiency in project management software (e.g., MS Project, JIRA, Trello).

- Exceptional organizational and time management skills.

- Strong problem-solving and analytical skills.

- Excellent communication and interpersonal skills.

- Ability to manage multiple projects and priorities simultaneously.

Preferred Skills :

- Experience with data analytics tools and technologies (e.g., Power BI, Tableau, SQL).

- Project Management Professional (PMP) or similar certification.

- Knowledge of agile methodologies and frameworks.

- Experience working in a fast-paced, dynamic environment.

Desired Attributes :

- Client-Focused : You are comfortable working with clients to understand their business needs and translate them into actionable data strategies.

- Proactive and Self-Driven : You take ownership of projects and are proactive in identifying challenges and opportunities.

- Collaborative : You thrive in a collaborative, cross-functional team environment, working alongside both technical and non-technical team members.

- Strategic Thinking : You understand how data solutions can solve real business problems and are able to make strategic decisions to drive project success.

Educational Qualifications :

- Bachelor's degree in Business, Computer Science, Data Science, or a related field.

- Master's degree in a relevant field is a plus.