Program Director (DFS)
Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Datavetenskap · Projektledning
I korthet
Ansvarsområden
- Lead end-to-end delivery of AI/ML and Generative AI projects, including use case discovery, model development, MLOps/LLMOps pipelines, integration, and production deployment.
- Manage iterative, experimentation-driven workstreams (data preparation, model training/fine-tuning, prompt engineering, evaluation) alongside traditional delivery milestones.
- Coordinate cross-functional teams of data scientists, ML engineers, AI Solution Architects, and business analysts.
- Oversee model validation, responsible AI/governance checks, and production readiness prior to go-live.
- Partner with sales and pre-sales teams to scope, estimate, and structure AI engagements, including feasibility assessments and proof-of-concept (POC) planning.
- Support RFP/RFI responses, SOWs, and proposal development with realistic timelines, staffing plans, and phased delivery approaches.
- Translate customer business problems into high-level AI solution narratives in collaboration with AI Solution Architects.
- Participate in client-facing pre-sales discussions to build credibility and confidence in AI delivery capability.
- Act as the primary liaison between customer stakeholders, internal delivery teams, AI Solution Architects, and executive sponsors.
- Facilitate discovery workshops, use-case prioritization sessions, and solution design reviews.
- Manage expectations across technical and non-technical stakeholders, ensuring alignment on scope, data readiness, timelines, and success metrics.
- Provide regular status reporting, steering committee updates, and executive-level communication.
- Own project scope, work breakdown structures, resource plans, budgets, and delivery milestones using Agile, Waterfall, or hybrid methodologies.
- Proactively manage risks, issues, dependencies, and change requests, including risks specific to AI projects (data quality, model performance, bias/fairness, compliance).
- Track and report on project financials (budget vs. actuals), resource utilization, and delivery KPIs.
- Ensure quality assurance, responsible AI practices, and governance standards are met throughout delivery.
- Serve as the connective tissue between AI Solution Architects and business/customer stakeholders during solution design.
- Lead technical solutioning discussions, ensuring AI architecture and model approach align with project scope, budget, and timeline constraints.
- Facilitate architecture/solution review boards, design walkthroughs, and technical decision logs.
- Ensure AI solution designs are translated into actionable, sequenced project plans with clear milestones and success criteria.
- Own the overall customer experience for assigned engagements, driving high CSAT/NPS outcomes and demonstrable business value from AI initiatives.
- Proactively identify and resolve delivery risks before they impact customer satisfaction.
- Conduct regular business reviews, share value/ROI metrics, and gather feedback to identify opportunities for account growth.
- Act as an escalation point for critical delivery issues, ensuring swift resolution and transparent communication.
- Contribute to the build-out of internal AI delivery methodologies, templates, playbooks, and best practices tailored to AI/ML project lifecycles.
- Mentor and coach junior project managers and delivery leads.
Krav
- 6+ years of project management experience, with at least 3+ years managing AI/ML or Generative AI projects.
- Proven experience in pre-sales support, solution scoping, and proposal/SOW development for AI engagements.
- Demonstrated experience managing cross-functional teams including data scientists, ML engineers, and AI architects.
- Experience navigating the iterative, experimentation-heavy nature of AI project delivery, including POC-to-production journeys.
- Strong working knowledge of AI/ML and Generative AI concepts (model training, fine-tuning, RAG, prompt engineering, MLOps/LLMOps) sufficient to engage credibly in architecture discussions.
- Awareness of responsible AI principles — bias, fairness, explainability, data privacy, and regulatory considerations.
- Excellent stakeholder management, executive communication, and presentation skills.
- Strong command of project management methodologies (Agile/Scrum, Waterfall, SAFe) and tools (Jira, MS Project, Smartsheet, Asana, or similar).
- Financial acumen — budget planning, tracking, and forecasting for technical projects.
- Strong risk management, negotiation, and conflict-resolution skills.
- Ability to translate complex AI/technical concepts into business-friendly language and vice versa.
- PMP (Project Management Professional) or PRINCE2 certification (mandatory).
- At least one industry-recognized AI certification (mandatory), such as: Google Cloud Professional Machine Learning Engineer or Google Cloud Generative AI Leader, AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, NVIDIA Certified Associate / Professional (AI-related tracks).
Önskade kvalifikationer
- Preferred additional certifications: Certified ScrumMaster (CSM) / PMI-ACP, Data Science / Deep Learning certifications (e.g., DeepLearning.AI), ITIL Foundation.
- Master's degree preferred.
Förmåner
- You'll supercharge your potential.
- You'll find your career.
- And you'll find your spark.
- All at a place that knows that helping its customers stay on top starts by putting its people first.
Färdigheter
HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…
Företag
HCLTechPublicerade jobb
för 4 dagar sedan
Anställningstyp
Heltid
Arbetsform
På plats
Erfarenhetsnivå
Senior
Platser
Noida, India
Hyderabad, India
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