Kavya HemadriChief Data Officer

Kavya Hemadri · Chief Data Officer · India

Survey, meter, dock, lease: four kinds of record

Apr 2022 — Present

Chief data officer

Sahyavati Parks Limited

Sector
Grade-A office parks and warehousing parks: ownership, leasing and operation
Ownership
Family-promoted unlisted public company; an overseas pension investor has held 29 per cent since 2021
Company scale
₹1,240 crore revenue in the year ended March 2026
Employees
About 1,180
Geography
Mumbai headquarters; office parks in Pune, Navi Mumbai and Thane; warehousing parks at Bhiwandi, Panvel, Chakan, Talegaon and Ranjangaon
Reporting to
Managing director; presents to the audit committee and reports to the risk and sustainability committee
Team
46 people through five leads
Financial scope
₹38 crore annual data and privacy budget, plus the ₹14.6 crore metering programme of 2024–26

Mandate

Make lease, metering and access records dependable enough for lenders, valuers, occupiers' assurance providers and the people whose entries we record.

Outcomes

  • Reconciled 312 lease abstracts before a ₹1,980 crore refinancing, reducing the draft rent roll by ₹9.4 crore
  • Raised measured energy and water coverage from 59 to 96 per cent of leased area
  • Deleted 3.8 million historical visitor records and set 90-day routine retention
  • Introduced three reported measures of occupancy for leasing, finance, the valuers and the board

Decisions in context

The role was created when the board recognised that our lease, meter and gate records were relied on by people outside the company: lenders, valuers, listed occupiers and, under the new data protection law, the individuals recorded at our gates. I lead five teams covering lease and valuation data, metering and sustainability data, data engineering, access and privacy, and analytics. All three cases on this site belong to this period; each required me to tell a senior colleague that a figure was not yet supportable. My current work is preparing our definitions for the board's evaluation of a possible listing of two stabilised office parks through a REIT, which would expose them to a much wider readership. I present to the audit committee twice a year and report quarterly to the risk and sustainability committee. I hold no directorship at Sahyavati or elsewhere.

Reason for the move

Current appointment; seeking a first independent directorship that is compatible with it.

Apr 2018 — Mar 2022

Head of portfolio data

Sahyavati Parks Limited

Sector
Office parks and warehousing parks
Ownership
Family-promoted unlisted public company; the pension investor took its 29 per cent stake in 2021
Company scale
About ₹860 crore revenue in the year ended March 2022
Employees
About 940
Geography
Maharashtra; three office parks and three warehousing parks at period end
Reporting to
Chief financial officer
Team
Nineteen analysts and data engineers
Financial scope
Lease data warehouse, rent roll, valuation data packs and portfolio reporting for 11.2 million square feet

Mandate

Build one lease record shared by finance, leasing and asset management, and prepare the data behind half-yearly valuations.

Outcomes

  • Built the lease data warehouse now used by finance, leasing and asset management
  • Recorded 2020 deferrals and waivers as separate concession types across 214 occupiers
  • Prepared the lease and occupancy data packs for the pension investor's 2021 due diligence

Decisions in context

This was the period in which lease data stopped being a finance spreadsheet and became a shared record. I reported to the chief financial officer and led a team of nineteen. The lease data warehouse we built joined abstracts, billing and the valuation rent roll, and gave leasing and asset management the same view as finance. The 2020 lockdowns arrived halfway through. Occupiers sought relief in many forms, and the easy course was to record all of it as reduced rent. We kept deferrals, waivers and lease amendments apart, because each meant something different to cash, to the accounts and to the next valuation. That discipline paid off in 2021, when the pension investor's advisers tested our data before taking their stake. They asked fewer questions about concessions than about anything else. I did not negotiate any concession myself; leasing and finance made those decisions.

Reason for the move

Asked by the managing director to take the newly created chief data officer role.

Jun 2014 — Mar 2018

Senior manager, lease analytics

Sahyavati Parks Limited

Sector
Office parks, with a first warehousing park opened in 2017
Ownership
Family-promoted unlisted public company
Company scale
About ₹520 crore revenue in the year ended March 2018
Employees
About 700
Geography
Pune and Navi Mumbai office parks; Chakan warehousing park
Reporting to
Head of financial planning
Team
Six analysts
Financial scope
Abstraction and analysis of 280 leases across three office parks

Mandate

Turn scanned leases into structured records that budgeting and billing could rely on.

Outcomes

  • Abstracted 280 scanned leases into structured records with clause references
  • Identified chargeable-area and escalation differences between signed leases and billing
  • Built the first lease-expiry and escalation schedule used in the annual budget

Decisions in context

I joined a company whose leases were well negotiated and poorly recorded. Signed documents sat in scanned folders, and billing ran from fields that someone had typed in years earlier. My six analysts abstracted 280 leases with a clause reference for every field, and we agreed with legal counsel how ambiguous clauses would be read until a dispute required otherwise. The work exposed differences between leases and billing, mostly in escalation dates and in chargeable area after renewals. I reported those differences to the head of financial planning rather than correcting the billing system myself, because each correction could change an occupier's invoice. We also produced the company's first lease-expiry schedule, which became the basis of the annual budget. When the Chakan warehousing park opened in 2017, its leases were structured from the first signature and needed no reconciliation.

Reason for the move

Promoted to lead portfolio data across office and warehousing parks.

Oct 2010 — May 2014

MIS and planning manager

Paravadi Warehousing Services

Sector
Third-party contract warehousing for automotive and consumer-goods customers
Ownership
Privately held, founder-owned
Company scale
About ₹140 crore annual revenue at period end
Employees
About 900 including contract labour
Geography
Seven warehouses around Chakan and Talegaon, Pune district
Reporting to
Operations director
Team
Four analysts
Financial scope
Dock scheduling, gate records, inventory reconciliation and customer reporting for seven warehouses

Mandate

Give the operations director and customers one consistent account of gate, dock and inventory activity.

Outcomes

  • Standardised gate-in and dock timestamps across seven warehouses
  • Reconciled customer and operator inventory counts monthly, with documented differences
  • Introduced dock-utilisation reporting used in planning two warehouse expansions

Decisions in context

Contract warehousing showed me how two honest records can disagree. Our warehouse system and each customer's own system logged the same trucks and pallets, but from different gates and with different cut-off times. Monthly reconciliations had turned into arguments about whose number was right. With my four analysts I wrote down, warehouse by warehouse, where each clock started and when each count closed, and we agreed those definitions with the customers' logistics managers. The differences that remained were real ones, and the operations director could act on them. I also built dock-utilisation reporting, which informed two expansions at Chakan. My authority was analytical; operations decided staffing, layout and customer terms. The work taught me the yard and dock questions I now ask our own warehousing occupiers, from the other side of the landlord's boundary.

Reason for the move

Joined a park owner to work on the data behind long leases rather than short service contracts.

Aug 2006 — Sept 2010

Energy data analyst, later energy data lead

Nirmeghan Facility Services

Sector
Building services and facility management for office campuses
Ownership
Privately held
Company scale
About ₹210 crore annual revenue at period end
Employees
About 3,400, most stationed at client sites
Geography
Pune and Mumbai; 38 client buildings within my remit
Reporting to
Head of energy services
Team
Three meter-data assistants from 2008
Financial scope
Meter register and recovery statements for grid electricity, generator diesel and water across 38 buildings

Mandate

Produce occupier recovery statements that matched what each meter actually measured.

Outcomes

  • Rebuilt the meter register for 38 buildings, recording what each meter served
  • Reduced recovery disputes by about a third over two years
  • Separated grid, generator and chilled-water costs in occupier statements

Decisions in context

This role put me inside the plant rooms. Recovery statements for electricity, generator diesel and water were built from readings taken by hand and typed into spreadsheets, and many occupier complaints were justified. A meter labelled for one floor often fed a shared chiller or a common corridor as well. I walked the buildings with the site engineers, traced what each meter served and rebuilt the register for 38 buildings. From 2008 I led three assistants who maintained it. Statements began to show grid, generator and chilled-water costs separately, with the meter behind each line. Disputes fell by about a third over two years. The engineers decided where meters were installed and how they were maintained; my part was making the data honest about what they measured. That distinction between a reading and an allocation still anchors our metering programme.

Reason for the move

Moved into warehousing to work with operational data in a different asset class.

Jul 2002 — Jul 2006

Research analyst, later senior analyst

Karelvane Property Research

Sector
Commercial property market research and survey publications
Ownership
Partner-owned private firm
Company scale
About ₹9 crore annual revenue at period end
Employees
About 60
Geography
Mumbai; surveys of the Mumbai region and Pune
Reporting to
Head of research
Team
No direct reports; one survey assistant from 2005
Financial scope
Quarterly office supply, vacancy and rent survey for assigned micro-markets

Mandate

Collect and verify office supply and vacancy evidence for the firm's quarterly survey.

Outcomes

  • Surveyed about 260 office buildings each quarter in assigned micro-markets
  • Drafted the published definitions of available, let and occupied space
  • Reconciled letting agents' figures with site evidence before publication

Decisions in context

My first employer sold a number, and I learnt how much work sat behind it. Each quarter I visited about 260 office buildings in my micro-markets, spoke with letting agents and security staff and recorded the status of every floor. Agents had reasons to describe space generously, and building registers were often out of date, so we needed rules for deciding which evidence prevailed. My head of research, Meghna Raverkar, asked me to draft the published definitions of available, let and occupied space, and to apply them consistently even when a client preferred another reading. I had no authority over what the firm published; I prepared evidence for her review. The work gave me a lasting suspicion of any occupancy figure that arrives without its definition. I left to work with measured data, where an instrument rather than an agent set the reading.

Reason for the move

Moved to facility services to work with measured operational data rather than survey estimates.

What I am looking for next

I am staying in my executive role and looking for a first independent directorship alongside it. The board I would suit owns or runs physical sites, holds a large volume of personal data about people who are not its customers, and is about to rely on operating data in front of a new reader: a lender, an assurance provider, a regulator or public investors. Hospital and diagnostic networks, education campuses and infrastructure companies outside office and warehousing are the sectors I know how to question. I would join the audit or risk management committee and serve under an experienced chair before taking any chair role myself. I can offer about 24 days a year, subject to employer consent and a conflict review covering our occupiers, lenders, valuers and suppliers. I am not seeking an executive move. I would value a board that expects a director to read the data definitions behind its reports, not only the reports.