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DataTech Client #1 | Technical Project Manager

SD Solutions

Responsibilities

Delivery and planning

  • Run two to three concurrent product implementations end to end: scope, plan, schedule, budget, and go-live.
  • Break each engagement into workstreams such as environment setup, source system onboarding, match tuning, data steward enablement, and production cutover.
  • Track milestones, dependencies and resourcing, and fix slippage early rather than reporting it late.
  • Manage scope and change requests through a clear, documented process.

Client and stakeholder coordination

  • Serve as the day-to-day point of contact for client sponsors, data owners, platform administrators, and business data stewards.
  • Coordinate the work clients own in their own environment, such as Databricks workspace access, Unity Catalog permissions, and cloud infrastructure, so it lands on time.
  • Facilitate decisions on match rules, confidence thresholds, and steward review workflows, and record who decided what and why.
  • Lead steering committee meetings and executive readouts.

Security and compliance support

  • Work with Frisco Analytics and product teams to support client security reviews and due diligence questionnaires during onboarding.
  • Ensure implementation team members follow the access, data handling, and confidentiality requirements that apply to client engagements.
  • Route security incidents or concerns to the right owners promptly.

Team leadership

  • Coordinate a delivery team of data engineers and consultants without direct reporting authority.
  • Run sprint ceremonies, stand-ups and retrospectives, and keep project tooling and documentation current.
  • Capture lessons learned to improve Frisco Analytics' implementation playbook.

How you'll communicate

  • Strong communication is the core skill of this role. You will be the person clients and engineers rely on to know where things stand and what happens next.
  • Translate between audiences.
  • Explain entity matching, golden records, and access permissions to business sponsors in plain language and turn business needs into clear requirements for engineers.
  • Write clearly.
  • Produce concise status reports, RAID logs, decision records, meeting notes, and project plans that a busy executive can scan in two minutes.
  • Run focused meetings.
  • Set agendas, keep discussions on track, close with owners and dates, and send follow-ups the same day.
  • Deliver hard news early.
  • Raise risks, delays, and scope issues directly, with options and a recommendation, before they become surprises.
  • Listen and ask good questions.
  • Uncover unstated requirements, client constraints, and concerns from security and governance teams.
  • Hold firm, kindly.
  • Lead steering committees, demos, and executive readouts for client leadership.

Requirements

  • 4 to 7 years of experience in project management, with at least 3 years managing client-facing technical or data projects.
  • A track record of delivering data platform, data integration, analytics, or enterprise software implementations on time and within budget.
  • Working knowledge of cloud data platforms (Databricks, Snowflake or similar) and at least one major cloud provider (AWS or Azure).
  • Understanding of data concepts such as data quality, data governance, role-based access control, and handling of personal data (PII).
  • Comfort with both Agile and Waterfall delivery, and the judgment to blend them for a client's needs.
  • Excellent written and verbal English, with examples of client-facing reports, presentations, or executive updates you have owned.
  • Experience with project tooling such as Jira, Confluence, Smartsheet, or MS Project.
  • A bachelor's degree in computer science, information systems, engineering, business, or equivalent experience.

Preferred

  • Experience implementing Master Data Management (MDM), entity resolution, or customer 360 solutions.
  • Exposure to AI or machine learning features in enterprise software, including how to explain human review and auditability to clients.

Responsibilities

  • Push back on scope creep and unrealistic dates while keeping the relationship strong.
  • Present with confidence.

Advantages

  • Hands-on familiarity with Databricks Unity Catalog, Delta Lake, or Databricks workflows.
  • Experience supporting client security reviews, vendor due diligence, or compliance requirements such as SOC 2.
  • A PMP, PMI-ACP, Certified ScrumMaster (CSM), or similar certification.
  • Consulting or systems integrator background, working across several clients at once.

About the company

A Databricks-native SaaS platform built to consolidate enterprise data into a single AI-ready layer. The product covers three domains: master data management (MDM), relationship graphs, and product information management (PIM) — all governed and deduplicated via LLMs and running natively on the Databricks Lakehouse.

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