Technical Program Manager
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Role: Technical Program/Project Manager
Hybrid Role in Vienna, VAJD:Role Summary The Technical Program Manager (TPM) leads the delivery, integration, and operationalization of data-driven and analytics-enabled business capabilities. This role ensures that data platforms, pipelines, models, and AI-enabled solutions are delivered in a compliant, scalable, and production-ready manner, bridging data science innovation with enterprise execution. The TPM partners closely with analytics teams, business stakeholders, and technology organizations to translate analytical concepts into actionable capabilities that enable targeting, measurement, experimentation, personalization, and data-driven decision-making at scale.
Key Responsibilities
Data & Analytics Program Delivery:
Lead cross-functional delivery of data and analytics initiatives, including data integrations, analytics enablement, model activation, and measurement frameworks.
Manage multiple concurrent data-centric workstreams, dependencies, risks, and delivery milestones.
Ensure analytics initiatives progress from discovery and proof-of-concept stages into governed, scalable production solutions.
Data Science & Technical Partnership:
- Serve as a key operational partner to analytics and data science teams, supporting intake, prioritization, and delivery of analytics use cases.
- Coordinate with data engineering, architecture, security, and risk teams to support data ingestion, access, and platform readiness.
- Translate analytical requirements, models, features, signals, and measurement needs into executable delivery plans.
- Governance, Risk & Compliance
- Support enterprise governance processes related to analytics and data usage, including:
- Data transfer and access approvals
- Security and privacy reviews
- Architecture and operational readiness assessments
- Ensure analytics solutions align with enterprise data standards, risk management practices, and regulatory requirements.
- Measurement, Experimentation & Activation
- Enable activation of analytical outputs into business and customer engagement platforms for targeting, segmentation, personalization, and customer journey optimization.
- Support the design and delivery of experimentation frameworks, measurement strategies, and performance reporting.
- Partner with analytics teams to ensure results are traceable, explainable, and actionable for business stakeholders.
Stakeholder Communication & Influence:
Provide clear, executive-ready updates on data and analytics initiatives, including risks, trade-offs, and key decisions. Act as a liaison between technical teams and non-technical business partners.
Process Improvement & Operational Excellence:
Contribute to standardized intake, prioritization, and delivery processes for analytics-driven initiatives. Identify opportunities to improve delivery speed, scalability, transparency, and operational efficiency through process and tooling enhancements.
Required Qualifications:
Extensive experience delivering complex, cross-functional technical, data, or analytics-driven programs.
Strong understanding of analytics, data platforms, and the operationalization of models and insights.
Proven ability to collaborate effectively with data scientists, engineers, architects, and business stakeholders.
Advanced program management skills, including planning, dependency management, risk mitigation, and execution oversight.
Excellent communication and stakeholder management skills across technical and executive audiences.
Preferred Qualifications:
- Experience supporting marketing analytics, decision science, customer analytics, personalization, or related data-driven initiatives.
- Familiarity with enterprise data governance, security, privacy, and compliance frameworks.
- Experience enabling AI, machine learning, or advanced analytics solutions within regulated environments.
- PMP, CSM, Agile certification, or equivalent project/program management experience.
- Key Focus Areas
- Analytics enablement and operationalization
- Data pipelines, integrations, and data platformsAI and machine learning implementation
- Measurement, experimentation, and performance analytics
- Data governance, risk management, security, and compliance
- Cross-functional program delivery and stakeholder alignment