CH10 - BJB Bank Julius Baer & Co. Ltd.
Business Analyst & Project Manager with the focus on AI Governance – Compliance Analytics & Transformation(m/w/x)
Full-timeOn-siteExperienced
Zürich
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SUSunrise GmbH
AI Strategy, Portfolio & Value Manager(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Implementing AI risk, security, and compliance guardrails for enterprise-wide data and AI initiatives at a data/AI technology platform. 4+ years experience with strategic data initiatives in regulated enterprise required. Work with cutting-edge agentic technologies.
Requirements
- Bachelor's/Master's in Business, Economics, Engineering, Computer Science, Data/AI, or equivalent practical experience
- Proven experience (4+ years) in AI/Data strategy, portfolio management, transformation/PMO, product operations, or value management in regulated/large-scale enterprise
- Strong understanding of Data, Analytics, Reporting, AI & Agentic technologies
- Strong skills in value modeling, decision support, business case building (ROI/TCO), benefits hypotheses, value quantification, trade-off communication with data/narratives
- Hands-on experience with portfolio cadences, ways of working (roadmaps, OKRs, agile planning, stage gates), stakeholder facilitation for prioritization/steering
- Working understanding of AI/ML, GenAI/agentic systems, delivery lifecycle concepts (data sourcing, development, evaluation, deployment, monitoring), and translation between technical/business stakeholders
- Excellent stakeholder management, communication skills, ability to influence without formal authority, driving alignment across business units
- High-quality writing and documentation skills (strategy briefs, business cases, steering packs)
- Exposure to Responsible AI, security, privacy, regulatory expectations (NIST AI RMF, GDPR, EU AI Act principles) (plus)
- Ability to influence without authority across complex stakeholder ecosystems
- Business-fluent English required; German is an advantage
Tasks
- Translate corporate priorities into AI and Data roadmaps.
- Ensure strong discipline in strategy definition.
- Manage portfolio for value realization.
- Ensure strong financial governance.
- Implement AI risk, security, and compliance guardrails.
- Coordinate strategic planning across business units.
- Govern portfolio execution across business units.
- Oversee risk and compliance stewardship.
- Track value realization across business units.
- Contribute to ADAO's North Star and multi-year strategy.
- Support capability and platform planning.
- Design the target operating model.
- Conduct external and internal benchmarking.
- Translate executive priorities into annual plans and quarterly OKRs.
- Break strategic themes into a portfolio of initiatives.
- Define measurable outcomes, dependencies, and release milestones.
- Operate the intake process for AI, data, and agentic demand.
- Structure use cases and clarify problem statements.
- Define value hypotheses.
- Build lightweight business cases including benefits, cost, risk, and change impact.
- Maintain the portfolio backlog and scoring model.
- Facilitate trade-off decisions.
- Align delivery capacity across Pods and teams.
- Establish baselines and measurement plans.
- Define KPI trees and adoption metrics.
- Track realized value like savings, revenue, and risk reduction.
- Conduct benefits reviews with business owners and Finance.
- Prepare steering materials and portfolio health dashboards.
- Support stage gates.
- Document and trace decisions, assumptions, and actions.
- Establish and operationalize an enterprise Data Governance framework.
- Define Data Governance policies, standards, and ownership models.
- Implement quality controls and metadata practices.
- Govern data products in partnership with business units.
- Coordinate communications and adoption plans for AI initiatives.
- Support rollout playbooks, training, and stakeholder alignment.
- Capture lessons learned for continuous improvement.
- Improve portfolio processes and governance cadence.
- Govern ADAO's budget and ensure financial transparency.
- Conduct OPEX/CAPEX planning and forecasting.
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- AI
- Data
- Analytics
- Reporting
- Agentic systems
- OKRs
- Agile planning
- ML
- GenAI
- NIST AI RMF
- GDPR
- EU AI Act
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sunrise GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SUSunrise GmbH
AI Strategy, Portfolio & Value Manager(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Implementing AI risk, security, and compliance guardrails for enterprise-wide data and AI initiatives at a data/AI technology platform. 4+ years experience with strategic data initiatives in regulated enterprise required. Work with cutting-edge agentic technologies.
Requirements
- Bachelor's/Master's in Business, Economics, Engineering, Computer Science, Data/AI, or equivalent practical experience
- Proven experience (4+ years) in AI/Data strategy, portfolio management, transformation/PMO, product operations, or value management in regulated/large-scale enterprise
- Strong understanding of Data, Analytics, Reporting, AI & Agentic technologies
- Strong skills in value modeling, decision support, business case building (ROI/TCO), benefits hypotheses, value quantification, trade-off communication with data/narratives
- Hands-on experience with portfolio cadences, ways of working (roadmaps, OKRs, agile planning, stage gates), stakeholder facilitation for prioritization/steering
- Working understanding of AI/ML, GenAI/agentic systems, delivery lifecycle concepts (data sourcing, development, evaluation, deployment, monitoring), and translation between technical/business stakeholders
- Excellent stakeholder management, communication skills, ability to influence without formal authority, driving alignment across business units
- High-quality writing and documentation skills (strategy briefs, business cases, steering packs)
- Exposure to Responsible AI, security, privacy, regulatory expectations (NIST AI RMF, GDPR, EU AI Act principles) (plus)
- Ability to influence without authority across complex stakeholder ecosystems
- Business-fluent English required; German is an advantage
Tasks
- Translate corporate priorities into AI and Data roadmaps.
- Ensure strong discipline in strategy definition.
- Manage portfolio for value realization.
- Ensure strong financial governance.
- Implement AI risk, security, and compliance guardrails.
- Coordinate strategic planning across business units.
- Govern portfolio execution across business units.
- Oversee risk and compliance stewardship.
- Track value realization across business units.
- Contribute to ADAO's North Star and multi-year strategy.
- Support capability and platform planning.
- Design the target operating model.
- Conduct external and internal benchmarking.
- Translate executive priorities into annual plans and quarterly OKRs.
- Break strategic themes into a portfolio of initiatives.
- Define measurable outcomes, dependencies, and release milestones.
- Operate the intake process for AI, data, and agentic demand.
- Structure use cases and clarify problem statements.
- Define value hypotheses.
- Build lightweight business cases including benefits, cost, risk, and change impact.
- Maintain the portfolio backlog and scoring model.
- Facilitate trade-off decisions.
- Align delivery capacity across Pods and teams.
- Establish baselines and measurement plans.
- Define KPI trees and adoption metrics.
- Track realized value like savings, revenue, and risk reduction.
- Conduct benefits reviews with business owners and Finance.
- Prepare steering materials and portfolio health dashboards.
- Support stage gates.
- Document and trace decisions, assumptions, and actions.
- Establish and operationalize an enterprise Data Governance framework.
- Define Data Governance policies, standards, and ownership models.
- Implement quality controls and metadata practices.
- Govern data products in partnership with business units.
- Coordinate communications and adoption plans for AI initiatives.
- Support rollout playbooks, training, and stakeholder alignment.
- Capture lessons learned for continuous improvement.
- Improve portfolio processes and governance cadence.
- Govern ADAO's budget and ensure financial transparency.
- Conduct OPEX/CAPEX planning and forecasting.
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- AI
- Data
- Analytics
- Reporting
- Agentic systems
- OKRs
- Agile planning
- ML
- GenAI
- NIST AI RMF
- GDPR
- EU AI Act
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sunrise GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Sunrise GmbH
Industry
IT
Description
Das Unternehmen bietet eine moderne Ausbildung in der Plattformentwicklung und fördert Innovation in der IT-Branche.
Not a perfect match?
- CH10 - BJB Bank Julius Baer & Co. Ltd.
Business Analyst & Project Manager with the focus on AI Governance – Compliance Analytics & Transformation(m/w/x)
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Pharma & Life Sciences Manager Consultant (Strategy & Data/AI Transformation)(m/w/x)
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