Lately, everything needs analytics, and LENA is a Philippine start-up that provides just that. We provide personalized end-to-end data solutions to both leaders of industries and to SMEs that are looking for an edge -- whether that is in data collection, data storage, data analytics, AI, data science or data strategy! Our objective goes beyond delivering solutions, but to enable clients to appreciate, learn, and integrate data-driven techniques and analytics for their organizations.
As part of our goal to enable transformation through data, we are looking for future leaders who are looking to improve themselves, and are excited to shape individuals, organizations, and even societies. As a LENA employee, you will be both an analytical and creative engineer who is able to grasp user needs, work together to create impactful solutions, and communicate business outcomes.

LENA is the trade name of Twelve Baskets Analytics, Inc.

--- COMPANY VALUES ---
PASSION FOR LEARNING AND INNOVATION
We appreciate the fact that everyone knows something others do not and no one knows everything they need to know. We learn from ourselves and one another. We practice an attitude of teaching and learning to grow as a team.
We value the journey of finding new and better ways of doing things. We continuously develop works of quality and innovate better practices.

WE AS A TEAM
We promote smart ideas and good collaboration working as a team. We understand and accept the value of feedback, listening, and following. We manage and lead our work in a manner that benefits everyone. We initiate and participate in developing ourselves, our work, our customers, and our workplace.

ENGINEERING AND ENTREPRENEURSHIP
We believe that our work must create value for our customers and ourselves. We approach each day with the initiative to solve business problems smartly and to automate as much as we can.

LENA - Lately, Everything Needs Analytics

As our Data Engineering Manager, you will lead and grow a team of Data Engineers embedded in various client accounts. You will be responsible for people development, performance management, delivery oversight, and organizational influence—working closely with our Head of Data Engineering and the Data Engineering Council.

You are expected to bring deep engineering experience to provide mentorship and coaching, challenge designs, and model sound engineering judgment—especially in solving ambiguous or poorly scoped problems, rather than writing code full-time.



Resposibilities:

People Management

<ul>
	<li>Manage and mentor a team of Data Engineers (mix of junior and senior)</li>
	<li>Conduct regular 1:1s, performance reviews, and career development planning</li>
	<li>Provide both mentorship and coaching to engineers at all levels</li>
	<li>Support onboarding and upskilling of Data Engineers across accounts</li>
</ul>

Technical Leadership

<ul>
	<li>Provide guidance on how Data Engineers design and develop data modeling, ETL/ELT pipeline architecture, testing, and documentation</li>
	<li>Provide development and standards for implementing the data engineering lifecycle and its undercurrents, such as Observability and Software Engineering for each Data Engineer</li>
	<li>Review technical work periodically (e.g., PRs, architecture proposals)</li>
	<li>Collaborate with senior engineers and the Data Engineering Council to set engineering standards and reuse strategies</li>
</ul>

Project Support &amp; Delivery Oversight

<ul>
	<li>Partner with cross-functional leads (e.g., Data Visualization Engineers) to ensure smooth delivery across squads</li>
	<li>Monitor health of delivery: timelines, blockers, data quality issues</li>
	<li>Act as an escalation point for technical and operational challenges</li>
</ul>

Org Building &amp; Process Improvement

<ul>
	<li>Help shape our technical onboarding, leveling framework, and Data Engineer career pathing</li>
	<li>Drive systems thinking: shared libraries, playbooks, reusable infra patterns</li>
	<li>Contribute to recruiting, hiring, and talent branding</li>
</ul>

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Data Engineering Manager