Technical Project Manager

• 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

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