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Zurich 56 Company Ltd
Data Science LeadZurich 56 Company Ltd • zürich, Switzerland
Data Science Lead

Data Science Lead

Zurich 56 Company Ltd • zürich, Switzerland
26 giorni fa
Descrizione dell’offerta di lavoro
ph3Data Science Lead /h3 h3Role Overview /h3 pLeads the planning, governance, and execution oversight of the CDO portfolio across Data Science, Data Platforms and Engineering, and Data Governance. /p pThe role is accountable for translating strategic priorities into an integrated portfolio view, driving prioritization and investment alignment, and providing executive visibility into progress, risks, dependencies, and outcomes. /p pWorking in close partnership with CDO leaders and cross-functional stakeholders, this individual enables disciplined portfolio management, informed decision-making, and consistent delivery of strategic business value. /p h3Key Responsibilities /h3 ul liLead the CDO portfolio of initiatives across Data Science, Data Platforms and Engineering, and Data Governance, ensuring work is prioritized, sequenced, and aligned to strategic objectives. /li liDevelop and maintain portfolio roadmaps, integrated plans, milestone views, and executive reporting to provide clear visibility into delivery progress and expected outcomes. /li liGovern portfolio intake, prioritization, and decision processes in partnership with CDO leaders and stakeholders, balancing business value, capacity, risk, and cross-functional dependencies. /li liPartner closely with the Portfolio Planning Delivery team to align portfolio planning, delivery oversight, reporting, and governance processes across the CDO portfolio. /li liDrive cross-functional coordination to manage interdependencies, resolve delivery conflicts, and sustain execution against portfolio commitments. /li liOversee portfolio financials, including budget planning, forecasting, spend visibility, and resource alignment, to support effective investment management. /li liSupport portfolio execution through disciplined vendor and contract oversight, procurement coordination, and adherence to organizational policies and timelines. /li liIdentify, monitor, and elevate portfolio‑level risks, issues, and decisions, and drive mitigation actions to protect delivery timelines and business outcomes. /li liAssess portfolio performance, delivery health, and benefit realization, and recommend adjustments to priorities, plans, and governance mechanisms to improve results. /li /ul h3Basic Qualifications /h3 ul liBachelors Degree and 6 or more years portfolio, program, or project management experience /li liOR /li liHigh School Diploma or Equivalent and 8 or more years portfolio, program, or project management experience /li /ul h3Preferred Qualifications /h3 ul li5+ years of portfolio, program, or project management experience in data‑centric or technology‑driven environments, including accountability for multiple concurrent initiatives across functions. /li liStrong knowledge of portfolio governance, intake and prioritization, resource planning, and risk management, preferably within data, analytics, or technology organizations. /li liStrong executive communication, organizational, and leadership skills, with the ability to drive alignment across stakeholders and communicate status, risks, and tradeoffs with clarity. /li liDemonstrated ability to manage budgets, forecasts, vendor engagements, and resource plans in complex, matrixed environments. /li liProficiency with portfolio and project management tools and reporting platforms, including the ability to track delivery, dependencies, risks, and investment performance. /li /ul h3Core Competencies /h3 ul liPortfolio strategy, prioritization, and governance /li liExecutive stakeholder communication and influence /li liCross‑functional planning and dependency management /li liFinancial oversight and investment alignment /li /ul h3Equal Opportunity Employer /h3 pAt Zurich we are an equal opportunity employer. We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age, or disability. /p /p #J-18808-Ljbffr
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Data Science Lead • zürich, Switzerland

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