Director - Product/Project Implementation
at A B2B SaaS-based leading product firm.
Job Description :
- This role is responsible for Implementation, one of the most critical phases in a client's life cycle.
- We are looking for an experienced and driven Director, Implementation who is responsible for applying expert knowledge of implementation and large project processes while providing strategic direction to minimize time to first value for all customers.
- As the Director, Implementation, you will manage a growing team and develop processes and procedures for enterprise implementations.
Responsibilities :
- Take proactive ownership of regional implementation health.
- Create scalable processes and definitive scope around implementation services
- Implement systematic processes for tracking and reporting on the implementation status
- Maintain a highly skilled team of Implementation Managers and manage team allocation to maximize resources and output
- Direct the activities of the implementation team to meet client needs and create successful partnerships
- Lead team to complete process analysis, design/redesign of multiple workflows and processes to ensure that they are customer-focused, consistent, effective and efficient and in compliance with company standards
- Develops and manages all deliverables needed for effective implementation to include but not limited to: detailed project plan/timeline, action log, meeting notes, process/procedures and forms documentation, etc.
- Own execution of the roll-out within the allotted implementation timeframe
- Full ownership and accountability of customer satisfaction and on-time delivery throughout the Implementation phase
- Provide support to Account Executives & Sales Engineers during the Sales cycle
- Ability to speak knowledgeably on all technical integration options available within an implementation
- Facilitate hand-off from Sales to Implementation
- Connect regularly with all team members and provide strategic guidance, feedback on performance, and remediate as needed
- Monitor the progress of each account at a deeper level
- Ensure all metrics are accurate and up-to-date
- Advocate customer needs/issues cross-departmentally
- Understand and manage escalations efficiently and appropriately
- First point of contact for all inquiries on project status from executive leadership
- Recognize risks and puts remediation plans in place, interfaces directly with clients escalates to exec level when needed
- Partner with global teams on solutions, process enforcement, and overall regional health
Qualifications :
- 15-18 years of experience working with global enterprise customers in software implementation or Project Management type role at a SaaS company
- 7-10 years experience in a supervisory or managerial role; People leadership of direct and indirect reports
- Bachelor's degree;
- Previous experience as a Manager, Implementation for enterprise software
- Proven track record of successful implementation with enterprise clients
- Highly developed project management skills
- Ability to influence and guide clients through complex implementations
- Strong leadership skills; ability to lead a group of diverse individuals in a high-performance team
- Demonstrated presentation and client-facing skills
- Superior presentation skills; experience with presenting to C-level Executives
- Experience in client services/operational roles and ability to effectively counsel clients and internal business partners
- Analytical skills to determine root causes and develop solutions
- Understanding of sales, marketing, client relations roles, and their interdependence
- Demonstrated ability to adapt to a fast-paced and changing the technical environment
- Self-starter seeks out challenges
- Flexible
Shubham Vishwakarma
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Google AnalyticsAbout Hudson Data
At Hudson Data, we view AI as both an art and a science. Our cross-functional teams — spanning business leaders, data scientists, and engineers — blend AI/ML and Big Data technologies to solve real-world business challenges. We harness predictive analytics to uncover new revenue opportunities, optimize operational efficiency, and enable data-driven transformation for our clients.
Beyond traditional AI/ML consulting, we actively collaborate with academic and industry partners to stay at the forefront of innovation. Alongside delivering projects for Fortune 500 clients, we also develop proprietary AI/ML products addressing diverse industry challenges.
Headquartered in New Delhi, India, with an office in New York, USA, Hudson Data operates globally, driving excellence in data science, analytics, and artificial intelligence.
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About the Role
We are seeking a Data Analyst & Modeling Specialist with a passion for leveraging AI, machine learning, and cloud analytics to improve business processes, enhance decision-making, and drive innovation. You’ll play a key role in transforming raw data into insights, building predictive models, and delivering data-driven strategies that have real business impact.
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Key Responsibilities
1. Data Collection & Management
• Gather and integrate data from multiple sources including databases, APIs, spreadsheets, and cloud warehouses.
• Design and maintain ETL pipelines ensuring data accuracy, scalability, and availability.
• Utilize any major cloud platform (Google Cloud, AWS, or Azure) for data storage, processing, and analytics workflows.
• Collaborate with engineering teams to define data governance, lineage, and security standards.
2. Data Cleaning & Preprocessing
• Clean, transform, and organize large datasets using Python (pandas, NumPy) and SQL.
• Handle missing data, duplicates, and outliers while ensuring consistency and quality.
• Automate data preparation using Linux scripting, Airflow, or cloud-native schedulers.
3. Data Analysis & Insights
• Perform exploratory data analysis (EDA) to identify key trends, correlations, and drivers.
• Apply statistical techniques such as regression, time-series analysis, and hypothesis testing.
• Use Excel (including pivot tables) and BI tools (Tableau, Power BI, Looker, or Google Data Studio) to develop insightful reports and dashboards.
• Present findings and recommendations to cross-functional stakeholders in a clear and actionable manner.
4. Predictive Modeling & Machine Learning
• Build and optimize predictive and classification models using scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, and H2O.ai.
• Perform feature engineering, model tuning, and cross-validation for performance optimization.
• Deploy and manage ML models using Vertex AI (GCP), AWS SageMaker, or Azure ML Studio.
• Continuously monitor, evaluate, and retrain models to ensure business relevance.
5. Reporting & Visualization
• Develop interactive dashboards and automated reports for performance tracking.
• Use pivot tables, KPIs, and data visualizations to simplify complex analytical findings.
• Communicate insights effectively through clear data storytelling.
6. Collaboration & Communication
• Partner with business, engineering, and product teams to define analytical goals and success metrics.
• Translate complex data and model results into actionable insights for decision-makers.
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7. Continuous Improvement & Innovation
• Stay current with emerging trends in AI, ML, data visualization, and cloud technologies.
• Identify opportunities for process optimization, automation, and innovation.
• Contribute to internal R&D and AI product development initiatives.
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Required Skills & Qualifications
Technical Skills
• Programming: Proficient in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, H2O.ai).
• Databases & Querying: Advanced SQL skills; experience with BigQuery, Redshift, or Azure Synapse is a plus.
• Cloud Expertise: Hands-on experience with one or more major platforms — Google Cloud, AWS, or Azure.
• Visualization & Reporting: Skilled in Tableau, Power BI, Looker, or Excel (pivot tables, data modeling).
• Data Engineering: Familiarity with ETL tools (Airflow, dbt, or similar).
• Operating Systems: Strong proficiency with Linux/Unix for scripting and automation.
Soft Skills
• Strong analytical, problem-solving, and critical-thinking abilities.
• Excellent communication and presentation skills, including data storytelling.
• Curiosity and creativity in exploring and interpreting data.
• Collaborative mindset, capable of working in cross-functional and fast-paced environments.
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Education & Certifications
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Master’s degree in Data Analytics, Machine Learning, or Business Intelligence preferred.
• Relevant certifications are highly valued:
• Google Cloud Professional Data Engineer
• AWS Certified Data Analytics – Specialty
• Microsoft Certified: Azure Data Scientist Associate
• TensorFlow Developer Certificate
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Why Join Hudson Data
At Hudson Data, you’ll be part of a dynamic, innovative, and globally connected team that uses cutting-edge tools — from AI and ML frameworks to cloud-based analytics platforms — to solve meaningful problems. You’ll have the opportunity to grow, experiment, and make a tangible impact in a culture that values creativity, precision, and collaboration.
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Laundry industry has critical workflows and complex integrations with hardware and machines, and the new developers need to be more confident and fearless about making changes in the system. This will help to deliver products faster to the customers while building more robust products.
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