P66 - Data Project Manager

Perficient; Bogotá ciudad; On-site; COP 180,000,000 - 280,000,000; Full time

Benefits offered by this job

Competitive benefits

Paid time off and holidays

Job summary

Perficient is seeking an experienced Senior Data Project Manager to oversee end-to-end delivery of enterprise data projects across cloud platforms, data pipelines, integrations, analytics, and BI solutions. You will coordinate cross-functional teams, manage budgets, timelines, and risk, and ensure alignment with client goals.

You don’t need to be hands-on, but you’ll need deep knowledge of data architectures, SQL, data quality, and production support, with strong stakeholder management and

Qualifications

• At least 7 years of experience leading technical, data, analytics, or cloud projects.
• Experience delivering projects using Agile, Waterfall, and hybrid methodologies.
• Familiarity with AWS, Microsoft Azure, or Google Cloud Platform.
• Experience with Databricks, Snowflake, Microsoft Fabric, or comparable modern data platforms.
• Understanding of data pipelines, integrations, warehouses, lakehouses, SQL, data quality, and BI solutions.
• Experience using Jira, Azure DevOps, ServiceNow, Confluence, or similar delivery tools.
• Strong stakeholder management, communication, negotiation, risk management, and problem-solving skills.
• Experience managing project budgets, forecasts, resource plans, fixed-fee contracts, and change requests.
• Production support, ticket management, and SLA governance experience is preferred.
• Client-facing consulting or professional-services experience is preferred.
• PMP, CSM, CSPO, SAFe, cloud, Databricks, or Snowflake certifications are preferred.

Responsibilities

• Lead data and analytics projects from discovery through implementation and transition.
• Develop and maintain project plans, timelines, milestones, budgets, resource plans, and delivery roadmaps.
• Coordinate data engineering, architecture, analytics, development, quality assurance, cloud, and business teams.
• Apply Agile, Waterfall, or hybrid methodologies based on project and client needs.
• Manage backlogs, delivery progress, dependencies, and reporting through Jira, Azure DevOps, ServiceNow, Confluence, or similar tools.
• Oversee initiatives involving cloud platforms, data pipelines, integrations, data warehouses, lakehouses, and BI solutions.
• Partner with technical teams to address data quality, SQL validation, platform limitations, and upstream or downstream dependencies.
• Manage stakeholders, communicate project status, facilitate decisions, and expedite risks or issues proactively.
• Own project budgets, forecasts, estimates, resource utilization, and actual-versus planned performance.
• Manage scope and change requests, including delivery under fixed-fee contracts.
• Coordinate production support, ticket triage, incident resolution, root cause analysis, and SLA performance when required.
• Identify opportunities to improve delivery through automation, AI, forecasting, and performance analytics.

Skills

Stakeholder management

Communication

Negotiation

Risk management

Problem solving

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, or related field

Tools

Jira

Azure DevOps

ServiceNow

Confluence

Job description

Job Description

• • The Senior Data Project Manager will oversee end-to-end delivery of enterprise data projects involving cloud platforms, data pipelines, integrations, analytics, and business intelligence solutions.
  • The role requires familiarity with AWS, Microsoft Azure, or Google Cloud Platform, as well as modern data technologies such as Databricks, Snowflake, Microsoft Fabric, Redshift, BigQuery, Power BI, and Tableau.
  • The candidate does not need to be a hands-on engineer but must understand data architectures, SQL, data quality, technical dependencies, and production support processes.

Responsibilities

• Lead data and analytics projects from discovery and planning through implementation and operational transition.
• Develop and maintain project plans, timelines, milestones, budgets, resource plans, and delivery roadmaps.
• Coordinate data engineering, architecture, analytics, development, quality assurance, cloud, and business teams.
• Apply Agile, Waterfall, or hybrid methodologies based on project and client needs.
• Manage backlogs, delivery progress, dependencies, and reporting through Jira, Azure DevOps, ServiceNow, or similar tools.
• Oversee initiatives involving cloud platforms, data pipelines, integrations, data warehouses, lakehouses, and BI solutions.
• Partner with technical teams to address data quality, SQL validation, platform limitations, and upstream or downstream dependencies.
• Manage stakeholders, communicate project status, facilitate decisions, and expedite risks or issues proactively.
• Own project budgets, forecasts, estimates, resource utilization, and actual-versus planned performance.
• Manage scope and change requests, including delivery under fixed-fee contracts.
• Coordinate production support, ticket triage, incident resolution, root cause analysis, and SLA performance when required.
• Identify opportunities to improve delivery through automation, AI, forecasting, and performance analytics.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, Business Administration, or a related field.
• At least 7 years of experience leading technical, data, analytics, or cloud projects.
• Experience delivering projects through Agile, Waterfall, and hybrid methodologies.
• Familiarity with AWS, Microsoft Azure, or Google Cloud Platform.
• Experience with Databricks, Snowflake, Microsoft Fabric, or comparable modern data platforms.
• Understanding of data pipelines, integrations, warehouses, lakehouses, SQL, data quality, and BI solutions.
• Experience using Jira, Azure DevOps, ServiceNow, Confluence, or similar delivery tools.
• Strong stakeholder management, communication, negotiation, risk management, and problem-solving skills.
• Experience managing project budgets, forecasts, resource plans, fixed-fee contracts, and change requests.
• Production support, ticket management, and SLA governance experience is preferred.
• Client-facing consulting or professional-services experience is preferred.
• PMP, CSM, CSPO, SAFe, cloud, Databricks, or Snowflake certifications are preferred.

Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work.

WHO WE ARE

Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers' expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients - the world's largest enterprises and biggest brands succeed.

WHAT WE BELIEVE

At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you'll become part of something truly special.

We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We're committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders... and we're not done yet.

Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.

Disability Accommodations

Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.

Disclaimer

The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.

About Us

Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world's most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.