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As a Senior Project Manager, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 5 YEARS of experience, a growth mindset and a drive to make a lasting impact.
Job Responsibility
Delivery leadership: Lead the full lifecycle of Data & AI projects-discovery, design, build, deployment, and adoption-across multiple concurrent engagements
Planning & execution: Develop and maintain detailed project plans, budgets, RAID logs, and resource forecasts
manage scope, timelines, and dependencies using Agile, Waterfall, or hybrid approaches as appropriate
Stakeholder management: Serve as the primary point of contact for client executives, product owners, and technical leads
clearly communicate progress, risks, trade-offs, and value realization
Cross-functional coordination: Orchestrate work across data engineers, data scientists, ML engineers, architects, business analysts, and domain SMEs to deliver integrated outcomes
Industry contextualization: Apply working knowledge of Automotive, Agriculture, and Manufacturing operations (e.g., connected vehicle data, precision agriculture, predictive maintenance, supply-chain analytics) to shape delivery and de-risk execution
Governance & quality: Enforce delivery standards, model governance, data quality, security, and responsible-AI practices in line with organizational and regulatory requirements
Commercial accountability: Track financials against forecast, manage change requests, identify upsell opportunities, and ensure margin and utilization targets are met
Continuous improvement: Run retrospectives, capture lessons learned, and contribute to internal delivery playbooks, estimation models, and capability uplift
Requirements
Minimum 5 years of professional project management experience, with a demonstrable track record of delivering Data, Analytics, or AI/ML solutions end-to-end
Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related discipline. Master's degree or MBA is a plus
Proven delivery experience across at least two of the following verticals: Automotive, Agriculture, Manufacturing (e.g., IoT/telematics, smart farming, Industry 4.0, MES integration, predictive maintenance, computer vision on the factory floor)
Strong working knowledge of modern data and AI technologies, including cloud data platforms (Azure, AWS, or GCP), data pipelines, MLOps, and at least foundational familiarity with generative AI and LLM-based solutions
Hands-on experience leading Agile (Scrum/Kanban) and hybrid delivery teams, including distributed and offshore squads
Excellent stakeholder management skills-comfortable engaging C-level sponsors, plant managers, R&D heads, and technical specialists with equal credibility
Strong commercial acumen: budget ownership, vendor management, SOW shaping, and change control
Demonstrated ability to navigate ambiguity, prioritize ruthlessly, and drive outcomes in environments where data maturity varies significantly
Excellent written and verbal communication skills, including the ability to translate technical concepts for non-technical audiences
Nice to have
Required (at least one): PMP (Project Management Professional) – PMI, or PRINCE2 Practitioner, or Certified ScrumMaster (CSM) / PMI-ACP / SAFe Agilist (SA) or equivalent Agile certification
Strongly Preferred (one or more): Cloud certification -Microsoft Azure (AZ-900 or higher), AWS (Cloud Practitioner or Solutions Architect), or Google Cloud (Digital Leader or Professional)
Data/AI-specific credentials -e.g., Microsoft Certified: Azure AI Engineer / Data Engineer Associate, AWS Certified Data Engineer, Google Professional Data Engineer, Databricks Certified Data Engineer, or PMI Generative AI Overview / PMI Certified Professional in AI
SAFe Program Consultant (SPC) or SAFe Release Train Engineer (RTE) for candidates leading scaled programs
ITIL Foundation (advantageous for engagements with significant operational handover)
What we offer
Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts