Immediate Hiring Program Manager/Project Manager

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Location:

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Key Responsibilities:

1. Project Planning & Management:

• Define and manage project scope, objectives, and timelines for data engineering and Looker-based analytics projects.
• Develop detailed project plans, including resource allocation, risk management, and contingency plans.
• Monitor and track project progress to ensure adherence to timelines and quality standards.
• Manage project budgets and resources effectively to ensure optimal delivery.

2. Cross-Functional Collaboration:

• Collaborate with business stakeholders to understand their data and reporting requirements.
• Work closely with data engineering teams to design and implement robust data pipelines.
• Partner with business intelligence teams to ensure Looker dashboards and reports meet business needs.
• Coordinate with technical teams to resolve issues, address risks, and maintain project timelines.

3. Looker & Data Engineering Strategy:

• Drive the adoption of Looker as the primary business intelligence tool, ensuring smooth integration with data sources.
• Guide the development of Looker dashboards, reports, and data visualizations to empower business users with actionable insights.
• Oversee the development and maintenance of data pipelines for consistent, reliable, and high-quality data.
• Ensure the scalability, security, and performance of data solutions in alignment with best practices.

4. Stakeholder Communication:

• Provide regular project updates to senior management and key stakeholders, highlighting progress, risks, and issues.
• Act as the primary point of contact for internal teams and external partners regarding project status and outcomes.
• Coordinate user acceptance testing (UAT) and ensure projects meet quality standards before launch.

5. Continuous Improvement:

• Identify areas for process improvement, propose solutions, and lead the implementation of changes to enhance project efficiency and effectiveness.
• Encourage the use of best practices, methodologies, and tools for data management and reporting.

6. Risk & Issue Management:

• Identify potential risks and issues early in the project lifecycle and develop mitigation strategies.
• Lead problem-solving efforts to overcome technical and operational challenges.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• experience managing data engineering, analytics, or business intelligence projects.
• Proven experience with Looker implementation and management, including dashboard creation, data modeling, and integration.
• Strong background in data engineering, with experience in building and managing data pipelines (e.g., ETL processes, data warehousing, etc.).
• Excellent project management skills, with the ability to prioritize and manage multiple projects simultaneously.
• Strong communication skills, with the ability to engage and influence both technical and non-technical stakeholders.
• Familiarity with data architecture, data governance, and data security best practices.
• Proficiency in project management tools (e.g., Jira, Asana, MS Project).
• Knowledge of SQL, data warehousing concepts, and cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
• Certifications in Project Management (e.g., PMP, Scrum Master) are a plus.

Preferred Skills:

• Experience with Agile and Scrum methodologies.
• Familiarity with data modeling techniques and data visualization best practices.
• Exposure to cloud-based data platforms (e.g., Redshift, Snowflake, BigQuery).
• Experience with other analytics tools (e.g., Tableau, Power BI, etc.).

interested candidates share cv to dikshith.nalapatla@motivitylabs.com with below mentioned details.

• Total Experience:
• Relevant Experience :
• Current Role / Skillset:
• Current CTC:
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3. Bonus(if any):
• Payroll Company(Name):
• Client Company(Name):
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• Official Notice Period: (if it negotiable kindly mention up to how many days)
• Serving Notice (Yes / No):
• CTC of offer in hand:
• Last Working Day (in current organization):
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