Technical Project Manager

SD Solutions

. Run two to three concurrent product implementations end to end, including scope, planning, scheduling, budgeting, and go-live .

Posted 10/5/2026full-timeRemote • Colombia, Argentina, Mexico, BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing end-to-end product implementations, including project planning, budgeting, and client relationship management. Proficient in utilizing cloud data platforms and Agile methodologies to deliver data integration and analytics projects effectively.

Highest-signal resume keywords

Project ManagementClient-Facing Technical ProjectsCloud Data PlatformsAgile MethodologiesData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IntegrationData QualityData GovernanceRole-Based Access ControlPersonal Data HandlingMaster Data ManagementEntity ResolutionCloud InfrastructureProject PlanningBudget Management

Soft Skills

Excellent Written CommunicationExcellent Verbal CommunicationClient Relationship ManagementFacilitation SkillsTeam Coordination

Tools & Technologies

DatabricksSnowflakeAWSAzureJiraConfluenceSmartsheetMS ProjectDelta LakeDatabricks Workflows

Certifications & Qualifications

PMPPMI-ACPCertified ScrumMaster

Industry Keywords

Data Platform ImplementationsEnterprise SoftwareSecurity ReviewsVendor Due DiligenceSOC 2 Compliance

Tech Stack

Tools & technologies

AWSAzureCloudPMPUnity

About the role

Key responsibilities & impact

Run two to three concurrent product implementations end to end, including scope, planning, scheduling, budgeting, and go-live
Break engagements into workstreams such as environment setup, source system onboarding, match tuning, data steward enablement, and production cutover
Track milestones, dependencies, and resourcing; address slippage early
Manage scope and change requests through a documented process
Serve as day-to-day contact for client sponsors, data owners, platform administrators, and business data stewards
Coordinate client-owned work in Databricks workspaces, Unity Catalog permissions, and cloud infrastructure
Facilitate decisions on match rules, confidence thresholds, and steward review workflows
Lead steering committee meetings, demos, and executive readouts
Support client security reviews and due diligence questionnaires
Ensure implementation teams follow access, data handling, and confidentiality requirements
Route security incidents and concerns to appropriate owners
Coordinate data engineers and consultants without direct reporting authority
Run sprint ceremonies, stand-ups, and retrospectives
Maintain project tooling and documentation
Capture lessons learned to improve the implementation playbook
Translate technical concepts and business needs between clients, business sponsors, and engineers
Produce status reports, RAID logs, decision records, meeting notes, and project plans
Raise risks, delays, and scope issues with options and recommendations
Manage scope expectations and client relationships

Requirements

What you’ll need

4 to 7 years of experience in project management
At least 3 years managing client-facing technical or data projects
Track record of delivering data platform, data integration, analytics, or enterprise software implementations on time and within budget
Working knowledge of cloud data platforms such as Databricks or Snowflake
Experience with at least one major cloud provider, such as AWS or Azure
Understanding of data quality, data governance, role-based access control, and handling personal data (PII)
Comfort with Agile and Waterfall delivery methodologies
Excellent written and verbal English
Experience owning client-facing reports, presentations, or executive updates
Experience with Jira, Confluence, Smartsheet, or MS Project
Bachelor's degree in computer science, information systems, engineering, business, or equivalent experience
Advantageous: experience with Master Data Management (MDM), entity resolution, or customer 360 solutions
Advantageous: familiarity with Databricks Unity Catalog, Delta Lake, or Databricks workflows
Advantageous: exposure to AI or machine learning features in enterprise software
Advantageous: experience supporting client security reviews, vendor due diligence, or SOC 2 compliance requirements
Advantageous: PMP, PMI-ACP, Certified ScrumMaster (CSM), or similar certification
Advantageous: consulting or systems integrator background

Benefits

Comp & perks

Benefits offered by SD Solutions; details available by contacting the company