Director, Consulting - Supply Chain

2 мес. назад

USADirectorOnsite

data engineeringpredictive analyticsartificial intelligencecloud

Leadership role in consulting focused on supply chain management and presales, driving business transformation with data and analytics.

Capture market demand by engaging with clients and internal stakeholders to identify gaps and opportunities across Consumer Goods, Lifesciences, Industrials and other adjacent industry verticals - focussing on E2E Supply Chain, Manufacturing & Procurement Analytics areas
Act as a bridge between business and technology, ensuring solutions are aligned with client needs and technical feasibility
Lead analysis on PMF (product market fit) and support GTM of the offerings to senior buyer-leadership in Key-Accounts target customer environments
Own & drive execution of the proposed Business-Analytics Solutions Products roadmap by demonstrating techno-functional consulting & stakeholder management capabilities in collaboration with Domain Leaders, Data Science & Engineering SMEs and teams
Own end-to-end Solution Asset Development for the CPG and Pharma-Lifesciences practice, including ideation, design, development, and maintenance of scalable analytics data products
Develop and maintain reusable assets such as frameworks, templates, and tools to accelerate delivery and enhance solution quality
Drive thought leadership by staying ahead of industry trends and incorporating best practices into ’s offerings

Proven track record of leading onsite engagements & growth with F500 CPGs and other large enterprise accounts as a functional consultant
Building products at various levels of maturity (Proto-type, Connected solutions, Standalone solutions, Integrated solutions, Embedded solutions)
Hands on experience with at least two solution building technologies (Business Logic, DE, DS, Front-end technologies, UI/UX)
Ability to distinguish between Core, Configurable, Customizable feature sets in any solution,. and use this framework in actual build methodology
Exposure to enterprise ERP solutions like SAP, Oracle, OMP, O9, Blue Yonder, Kinaxis or similar platforms, ensuring seamless interoperability of ’s analytics solutions with client ecosystems

provides the opportunity to push the boundaries of what is possible by seamlessly combining functional expertise, AI and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions.
Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo
Vibrant inclusive culture of mutual respect and fun through both work and play

Role - Onsite Consulting Leader - Presales & Consultative Sales, SCM Practice
 
enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with to solve complex business problems. brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps.
 
Bachelor’s Degree (BE / BTech - CS) from Tier I and Masters in a relevant field (ideally Masters in Business Management)
15+ years of professional work experience in Enterprise/B2B Product or Services environment, with 8+ Years of experience delivering transformational value in Consumer Goods or Retail organisations
Proven exceptional problem-solving analytical skills with an ability to blend creativity and logical thought to innovatively think through a problem and develop solutions
Ability to develop and articulate strategic recommendations based on rigorous data analysis
Familiarity with integrating analytics tools/data pipelines with ERP systems to enable real-time decision-making.
Exposure to statistical and machine learning applications in Supply Chain solution ecosystem
Hands-on experience with analytics tools (e.g., SQL, Python, Tableau) and product management tools (e.g., Jira, Aha!)
A self-starter who can work well with minimal guidance