Tech Director

3 days ago


india Tredence Inc. Full time

About Us:

Tredence is a global data science solutions provider focused on solving the last mile problem in AI. The ‘last mile’ is the gap between insight creation and value realization. Headquartered in San Jose, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. Tredence is a Great Place to Work-Certified and a ‘Leader’ in the Forrester Wave: Customer Analytics Services. Tredence is 2200 plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. Job Overview: We are seeking a seasoned Delivery Architect (Tech Director) to lead and implement large-scale Data & AI projects. The ideal candidate has extensive experience managing end-to-end delivery on, a strong background in cloud platforms (AWS, Azure, GCP), and expertise with Snowflake and Databricks. This role requires exceptional stakeholder management, strategic planning, and excellent communication skills.


Job Summary:


Key Responsibilities:


1. End-to-End Project Leadership:

  • Lead the design, architecture, and delivery of Data & AI projects, ensuring alignment with business objectives.
  • Manage project budgets between $5-10 million, optimizing resource allocation and ensuring cost-effectiveness.


2. Technical Expertise:

  • Architect and implement solutions using cloud platforms (AWS, Azure, GCP).
  • Utilize Snowflake, Databricks, and other data engineering tools for high-performance data processing and AI/ML model deployment.
  • Ensure best practices in data governance, security, and scalability.


3. Stakeholder Management:

  • Collaborate effectively with senior leadership, technical teams, and external stakeholders to ensure timely and successful project delivery.
  • Provide regular updates on project status, risks, and milestones to stakeholders.


4. Team & Vendor Coordination:

  • Oversee cross-functional teams, providing direction and technical guidance.
  • Manage vendor relationships, ensuring alignment with project requirements and delivery timelines.


5. Project Planning & Quality Assurance:

  • Develop detailed project plans, track KPIs, and implement quality control processes.
  • Ensure compliance with data standards, regulations, and industry best practices.


Required Qualifications:


  • Experience: 15-20 years in Data & AI project delivery, with a strong focus on cloud platforms, data engineering, and ML/AI solutions.
  • Technical Skills: Proficiency in AWS, Azure, GCP, Snowflake, and Databricks. Strong foundation in data architecture and ML model deployment.
  • Project Management: Proven track record of managing $5-10 million projects, delivering on time and within budget.
  • Communication Skills: Strong verbal and written communication abilities; able to convey complex concepts to both technical and non-technical stakeholders.
  • Leadership: Experience leading cross-functional teams and managing vendor partnerships.


Preferred Qualifications:


  • Certifications in cloud platforms (AWS, Azure, or GCP).
  • Agile/Scrum project management experience.
  • Knowledge of data regulations, privacy standards, and industry best practices


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