Senior AI-Ready Data Strategy Lead (Remote)

Lingaro; Metro Manila; Hybrid; PHP 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Remote or office work options

Udemy learning platform access

Professional development programs

Job summary

Lingaro in the Philippines seeks an experienced Senior AI-Ready Data Advisor to shape data strategy and drive AI-powered insights for clients. You will lead data architecture discussions, coordinate with stakeholders, and deliver scalable data solutions across modern platforms.

You will mentor junior team members, craft proposals, and advocate data quality, governance, and observability as part of the data management practice. A strong background in Python, SQL, and cloud data tools is required.

Qualifications

• 10+ years of experience building data architectures and software solutions.
• Proven ability to lead data strategy and AI initiatives for enterprise clients.
• Strong command of Python, SQL, and modern cloud data tools.

Responsibilities

• Shape Data Management strategy and drive AI-powered insights for clients.
• Lead development of data solutions across platforms (MDM, data quality, cataloging, governance).
• Collaborate with client leadership and cross-functional teams to ensure alignment with business goals.
• Mentor junior members and lead consulting engagements in Data Quality & Observability.

Skills

Data architecture

AI/ML concepts

Cloud platforms

Python

SQL

Data governance

ETL/ELT

Stakeholder management

Mentoring

Education

Bachelor's in CS/SE/IT

Tools

Databricks

Spark

Snowflake

BigQuery

Azure

GCP

NoSQL databases

LangChain

Copilot/agentic tools

Job description

Lingaro in the Philippines seeks an experienced Senior AI-Ready Data Advisor to shape data strategy and drive AI-powered insights for clients. You will lead data architecture discussions, coordinate with stakeholders, and deliver scalable data solutions across modern platforms.

You will mentor junior team members, craft proposals, and advocate data quality, governance, and observability as part of the data management practice. A strong background in Python, SQL, and cloud data tools is required.