Technical Program Manager, Data & Implementation

Technical Program and Implementation Management

• Support client implementations from post-signature kickoff through go-live and stabilization.

• Build and maintain implementation plans, milestone schedules, technical workstreams, decision logs, risk registers, and status reporting.

• Coordinate delivery activities across Engineering, Product, Data, Integrations, Customer Success, Support, and third-party vendors.

• Translate customer requirements into clear technical tasks, configuration requirements, data requirements, and implementation deliverables.

• Identify project risks, technical dependencies, data gaps, resource constraints, and decisions that could affect scope, timing, or quality.

• Facilitate customer working sessions, internal delivery meetings, technical reviews, testing checkpoints, and go-live readiness reviews.

• Support integration testing, user acceptance testing, data validation, cutover planning, and post-launch issue resolution.

• Maintain clear communication with internal and external stakeholders regarding progress, risks, issues, decisions, and next steps.

Data Analysis, Validation, and Reporting

• Analyze building, occupancy, utilization, access control, system performance, operational, and implementation data.

• Use SQL and structured datasets to investigate data quality issues, integration behavior, implementation problems, and client questions.

• Validate that data received from building systems and third-party platforms is complete, accurate, and aligned with expected real-world behavior.

• Identify anomalies, missing records, inconsistent mappings, duplicate data, and other issues that could affect implementation or reporting outcomes.

• Support data mapping, transformation, reconciliation, and validation activities during client implementations.

• Create dashboards, visualizations, and executive-ready analyses that explain findings, assumptions, limitations, and recommended actions.

• Work within Cohesion's Databricks environment and collaborate with data engineering resources to access, validate, analyze, and interpret data.

Implementation Tooling and Process Improvement

• Develop and maintain tools, templates, documentation, and workflows that improve implementation consistency, visibility, and efficiency.

• Identify repeatable implementation activities that can be standardized, automated, or supported through internal tooling.

• Partner with Engineering and Product to define requirements for implementation utilities, configuration tools, monitoring capabilities, and administrative workflows.

• Improve how integration requirements, configuration data, data mappings, testing results, and deployment readiness are collected and tracked.

• Develop implementation dashboards and reporting that provide visibility into project health, delivery risk, data readiness, testing progress, and launch status.

• Use Monday.com and other internal systems to maintain accurate implementation records and portfolio-level reporting.

Sales Engineering and Product Demonstrations

• Support technical discovery sessions with prospective clients and partners when implementation, integration, or data expertise is required.

• Participate in product demonstrations, particularly when discussions involve integrations, analytics, technical architecture, or implementation approach.

• Help Sales translate customer requirements into preliminary technical approaches, implementation assumptions, and areas requiring further discovery.

• Develop data-driven examples, technical narratives, and demonstration scenarios that reflect prospective customer use cases.

• Communicate technical concepts clearly to business, operational, and executive audiences while maintaining realistic delivery expectations.

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• 4+ years of experience in technical program management, implementation, technical project management, data analytics, consulting, systems integration, or a related role.

• Experience supporting or managing enterprise software implementations involving multiple technical and business stakeholders.

• Strong project planning, documentation, organizational, and execution skills.

• Working knowledge of SQL and the ability to independently query, validate, and analyze structured datasets.

• Experience working with relational databases and identifying data quality issues or discrepancies across systems.

• Familiarity with APIs, data mappings, file-based integrations, system-to-system workflows, and integration testing.

• Experience with visualization or business intelligence tools such as Power BI, Tableau, Looker, Databricks dashboards, or similar platforms.

• Strong written and verbal communication skills, including the ability to explain technical topics to non-technical audiences.

• Ability to manage multiple projects, priorities, and stakeholder groups in a fast-paced environment.

• Strong judgment and attention to detail, with the ability to recognize when project status, system behavior, or data does not align with expectations.

• Ability to work from Cohesion's Chicago headquarters three days per week.

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• Experience working with Databricks or a comparable cloud data, lakehouse, or analytics platform.

• Understanding of data engineering concepts such as data pipelines, ETL or ELT processes, schemas, transformations, and data models.

• Experience building lightweight internal tools, implementation utilities, scripts, or automated workflows.

• Familiarity with Python, notebooks, or other scripting and analytical tools.

• Experience supporting product demonstrations, technical sales conversations, solution consulting, or sales engineering.

• Experience in smart building technology, proptech, enterprise SaaS, IoT, physical security, access control, workplace technology, or systems integration.

• Experience coordinating third-party technology vendors, security integrators, or building systems providers.

• Experience operating within a startup, scale-up, or other high-growth technology company.

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