About this opportunity
Lingaro lists this Senior Agentic Data Management Advisor opportunity in town of poland, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We’re committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.
Senior AI-Ready Data Advisor brings a unique blend of business, technology, and data expertise to develop strategic plans that define how data creates value for an organization and drives adoption of AI-powered insights. This role operates at the intersection of business, technology, data, and AI—partnering closely with client leadership to craft holistic strategies that align business objectives with data opportunities.
Tasks:
Partner with the Head of Practice, and contribute to the shaping of the Data Management (DM) strategy of customers and ensuring all activities and tasks undertaken are linked to the overall strategy and priorities of the practice.
Senior and lead development of the solutions around Data management platforms comprising of various modern capabilities satisfying the needs of both data provisioning and consumption persona in the data ecosystem: e.g. capabilities that simplify, streamline, automate processes like data ingestion, transformation, orchestration, discovery, MDM, data quality, data cataloging, exploration, governance, etc
Drive experimentation and POCs with tools and explore building of accelerator solutions which are aligned with the DM strategy, and which can quickly be deployed to the benefit of requesting customers.
Collaborate with other team members and clients and as required to build the solution landscape.
Lead consulting engagements related to Data Quality & Observability metadata management and data cataloging.
Drive innovation leveraging emerging capabilities in technology landscape: AI/ML, GenAI, Automation, and leading Data & Cloud Platforms.
Coaching junior members of the team including extended teams.
What We're Looking For:
Building offerings, proposals, leading assessments, POCs.
Balances creativity with planned and structured execution aligned with organizational strategy and priorities. Seeks clarity, stays focused, and prioritizes deliverables.
Ensures proposal of solutions aligned with customer data strategy and requirements.
Liaises with sales and delivery teams as required.
Demonstrate learning agility to learn and implement new AI and Data concepts and solutions.
Outside-in perspective, and generation/adoption/implementation of innovative ideas.
Strong customer orientation.
Ensures clear communication of risks, issues, and expectations.
Capability of building robust solution architecture involving assembly and integration of various tools.
Passion for automation and hands‑on with technical deliverables.
10+ years of experience in building data architecture and software solutions for
organizations.
Strong command over backend solution architecture and data engineering using tools such as Databricks, Spark, Microsoft Fabric, Snowflake, BigQuery, AWS Glue, and NoSQL DBs.
Proven experience of using agentic development tools such as Cursor, Claude Code,
Github Copilot or similar to boost work productivity.
Expertise in cloud platforms such as Azure, and GCP preferred.
Experience highly desirable – 3 or more of the following:
Implementation of data lakes, data lakehouse, data mesh or data fabric.
Certification or experience with any Data catalog, or MDM SaaS solution.
Certification or experience with any Data Quality or Data Observability solution.
Data modeling, Advanced SQL.
DEVOps/SecOps pipelines and CI/CD implementations.
Developing and testing web‑application with React or Angular Frontend, Rest or graph API’s.
Experience with LangChain, LangGraph, LangSmith or similar Agentic frameworks.
Very good Programming skills in Python, Java, or other languages to deliver a wide variety of data services.
Practical knowledge of modern capabilities in AI and agentic frameworks and emerging use cases in the data management ecosystem preferred.
Basic understanding or exposure to traditional analytics: reporting / BI is preferred.
What Will Set You Apart:
Bachelors in engineering, mathematics, or statistics.
FMCG/ CPG industry experience is highly desirable.
Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we’ll provide an environment where you feel valued and empowered to learn and grow.
We offer:
Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
“Office as an option” model. You can choose to work remotely or in the office.
Workation. Enjoy working from inspiring locations in line with our workation policy.
Great Place to Work® certified employer.
Flexibility regarding working hours and your preferred form of contract.
Comprehensive online onboarding program with a “Buddy” from day 1.
Cooperation with top‑tier engineers and experts.
Unlimited access to the Udemy learning platform from day 1.
Certificate training programs. Likely earn 500+ technology certificates yearly.
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
Grow as we grow as a company. 76% of our managers are internal promotions.
A diverse, inclusive, and values‑driven community.
Autonomy to choose the way you work. We trust your ideas.
Create our community together. Refer your friends to receive bonuses.
Activities to support your well‑being and health.
Plenty of opportunities to donate to charities and support the environment.
Modern office equipment. Purchased for you or available to borrow, depending on your location.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.